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Citation Profile [Updated: 2024-11-03 20:16:59]
5 Years H Index
14
Impact Factor (IF)
0.09
5 Years IF
0.2
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2008 0 0.49 0 0 8 8 13 0 0 0 0 0 0.23
2009 0 0.48 0 0 20 28 26 0 8 8 0 0 0.24
2010 0.07 0.49 0.06 0.07 20 48 108 3 3 28 2 28 2 2 66.7 0 0.21
2011 0.1 0.52 0.07 0.08 22 70 92 5 8 40 4 48 4 2 40 1 0.05 0.24
2012 0.4 0.52 0.27 0.29 24 94 44 25 33 42 17 70 20 11 44 1 0.04 0.22
2013 0.17 0.56 0.28 0.27 20 114 85 32 65 46 8 94 25 4 12.5 2 0.1 0.24
2014 0.14 0.55 0.21 0.22 21 135 177 28 94 44 6 106 23 7 25 2 0.1 0.23
2015 0.63 0.55 0.35 0.39 21 156 70 55 149 41 26 107 42 14 25.5 1 0.05 0.23
2016 0.57 0.53 0.35 0.33 16 172 42 60 209 42 24 108 36 13 21.7 1 0.06 0.21
2017 0.27 0.54 0.35 0.34 25 197 61 68 277 37 10 102 35 27 39.7 3 0.12 0.22
2018 0.27 0.55 0.24 0.36 41 238 50 56 333 41 11 103 37 12 21.4 1 0.02 0.24
2019 0.2 0.57 0.33 0.38 44 282 64 93 426 66 13 124 47 21 22.6 1 0.02 0.23
2020 0.19 0.68 0.31 0.29 42 324 40 102 528 85 16 147 42 19 18.6 1 0.02 0.32
2021 0.35 0.81 0.41 0.33 42 366 17 150 678 86 30 168 56 20 13.3 3 0.07 0.3
2022 0.24 0.86 0.33 0.26 43 409 8 135 813 84 20 194 51 18 13.3 0 0.26
2023 0.09 0.92 0.21 0.2 33 442 0 91 904 85 8 212 42 26 28.6 1 0.03 0.27
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12014Functional data clustering: a survey. (2014). Jacques, Julien ; Preda, Cristian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

Full description at Econpapers || Download paper

51
22010Methods for merging Gaussian mixture components. (2010). Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

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38
32013On mixtures of skew normal and skew $$t$$ -distributions. (2013). Lee, Sharon ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

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29
42010A review of robust clustering methods. (2010). Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso ; Mayo-Iscar, Agustin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

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27
52011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

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24
6A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pandolfi, Silvia ; Bacci, Silvia ; Pennoni, F.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

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22
72011Model-based clustering of time series in group-specific functional subspaces. (2011). Jacques, Julien ; Bouveyron, Charles. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

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22
82013Clustering and classification via cluster-weighted factor analyzers. (2013). Punzo, Antonio ; Subedi, Sanjeena ; Ingrassia, Salvatore ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:1:p:5-40.

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20
92017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Zhang, Rong ; Deng, Yong ; Ashuri, Baabak. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0300-3.

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19
102014Simplicial band depth for multivariate functional data. (2014). Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc ; Lin, Juan. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

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18
112014Estimating common principal components in high dimensions. (2014). Browne, Ryan ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

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16
122014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). Subedi, Sanjeena ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

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15
132015Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

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14
14Clustering of financial time series in risky scenarios. (2014). Durante, Fabrizio ; Pappada, Roberta ; Torelli, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:359-376.

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14
152018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Janitza, Silke ; Boulesteix, Anne-Laure ; Celik, Ender. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:4:d:10.1007_s11634-016-0276-4.

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11
162009Trimming algorithms for clustering contaminated grouped data and their robustness. (2009). Gallegos, Maria ; Ritter, Gunter . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:2:p:135-167.

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11
172016Varying uncertainty in CUB models. (2016). Iannario, Maria ; Piccolo, Domenico ; Gottard, Anna. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0235-0.

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11
182013Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. (2013). McNicholas, Paul ; Scrucca, Luca ; Morris, Katherine . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:321-338.

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10
192016A mixture of generalized hyperbolic factor analyzers. (2016). Tortora, Cristina ; Browne, Ryan P ; McNicholas, Paul D. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0204-z.

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10
202017Multivariate and functional classification using depth and distance. (2017). Rousseeuw, Peter ; Segaert, Pieter ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0269-3.

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9
212008A DC programming approach for feature selection in support vector machines learning. (2008). Le Thi, Hoai An ; PhamDinh, Tao ; Nguyen, Van. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

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9
222010A simulation study to compare robust clustering methods based on mixtures. (2010). Coretto, Pietro ; Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:111-135.

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9
232013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Vermunt, Jeroen ; Kollenburg, Geert ; Oberski, Daniel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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8
242019From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. (2019). Fruhwirth-Schnatter, Sylvia ; Malsiner-Walli, Gertraud. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0329-y.

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8
252011Fast algorithms for determining (generalized) core groups in social networks. (2011). Batagelj, Vladimir ; Zavernik, Matja . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:129-145.

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8
262011Model-based clustering and segmentation of time series with changes in regime. (2011). Aknin, Patrice ; Govaert, Gerard ; Chamroukhi, Faicel ; Same, Allou. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:301-321.

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8
272014New insights on permutation approach for hypothesis testing on functional data. (2014). Melas, Viatcheslav ; Salmaso, Luigi ; Corain, Livio ; Pepelyshev, Andrey. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:339-356.

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8
282014Latent class CUB models. (2014). Rampichini, Carla ; Piccolo, Domenico ; Grilli, Leonardo ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:105-119.

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8
292014Robust clustering around regression lines with high density regions. (2014). Perrotta, Domenico ; Cerioli, Andrea. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:5-26.

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8
302011Assessing and accounting for time heterogeneity in stochastic actor oriented models. (2011). Snijders, Tom ; Ripley, Ruth ; Schweinberger, Michael ; Lospinoso, Joshua . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:147-176.

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7
312015Improved initialisation of model-based clustering using Gaussian hierarchical partitions. (2015). Raftery, Adrian ; Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:447-460.

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7
322014A constrained robust proposal for mixture modeling avoiding spurious solutions. (2014). Garcia-Escudero, L. ; Mayo-Iscar, A. ; Gordaliza, A.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:27-43.

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7
332015Robust model-based clustering via mixtures of skew-t distributions with missing information. (2015). Wang, Wan-Lun. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:423-445.

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7
342016Model based clustering for mixed data: clustMD. (2016). Gormley, Isobel Claire ; McParland, Damien . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0238-x.

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7
352017Mixture models for ordinal responses to account for uncertainty of choice. (2017). Tutz, Gerhard ; Piccolo, Domenico ; Iannario, Maria ; Schneider, Micha . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:2:d:10.1007_s11634-016-0247-9.

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7
362012Sensory analysis in the food industry as a tool for marketing decisions. (2012). Piccolo, Domenico ; Zuccolotto, Paola ; Manisera, Marica ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:303-321.

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7
372019Finite mixtures, projection pursuit and tensor rank: a triangulation. (2019). Loperfido, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0336-z.

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7
382013Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification. (2013). Roblitz, Susanna ; Weber, Marcus . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:2:p:147-179.

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7
392011Multiple imputation in principal component analysis. (2011). Josse, Julie ; Pages, Jerome ; Husson, Franois. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:231-246.

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6
402014Graphical tools for model-based mixture discriminant analysis. (2014). Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:147-165.

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6
412010Robust classification for skewed data. (2010). Van der Veeken, Stephan ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:239-254.

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6
422009New robust dynamic plots for regression mixture detection. (2009). Riani, Marco ; Torti, Francesca ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:3:p:263-279.

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6
432020Gaussian parsimonious clustering models with covariates and a noise component. (2020). Murphy, Keefe. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-019-00373-8.

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6
442016Quantile composite-based path modeling. (2016). Vinzi, Vincenzo Esposito ; Davino, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0231-9.

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6
452010The k-step spatial sign covariance matrix. (2010). Dehon, Catherine ; Croux, C. ; Yadine, A.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:137-150.

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6
462017Disjoint factor analysis with cross-loadings. (2017). Vichi, Maurizio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0263-9.

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6
472011Detection of multivariate outliers in business survey data with incomplete information. (2011). Todorov, Valentin ; Filzmoser, Peter ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:37-56.

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6
482012Exploring incomplete data using visualization techniques. (2012). Filzmoser, Peter ; Alfons, Andreas ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:29-47.

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6
492013Interpretable clustering using unsupervised binary trees. (2013). Fraiman, Ricardo ; Svarc, Marcela ; Ghattas, Badih. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:2:p:125-145.

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5
502011Correcting Jaccard and other similarity indices for chance agreement in cluster analysis. (2011). Niewiadomska-Bugaj, Magdalena ; Albatineh, Ahmed . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:179-200.

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5
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12014Functional data clustering: a survey. (2014). Jacques, Julien ; Preda, Cristian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

Full description at Econpapers || Download paper

17
22018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Janitza, Silke ; Boulesteix, Anne-Laure ; Celik, Ender. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:4:d:10.1007_s11634-016-0276-4.

Full description at Econpapers || Download paper

8
32019From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering. (2019). Fruhwirth-Schnatter, Sylvia ; Malsiner-Walli, Gertraud. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0329-y.

Full description at Econpapers || Download paper

6
42014Estimating common principal components in high dimensions. (2014). Browne, Ryan ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

Full description at Econpapers || Download paper

6
52011Model-based clustering of time series in group-specific functional subspaces. (2011). Jacques, Julien ; Bouveyron, Charles. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

Full description at Econpapers || Download paper

6
62013Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification. (2013). Roblitz, Susanna ; Weber, Marcus . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:2:p:147-179.

Full description at Econpapers || Download paper

6
72019Finite mixtures, projection pursuit and tensor rank: a triangulation. (2019). Loperfido, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0336-z.

Full description at Econpapers || Download paper

5
82010Methods for merging Gaussian mixture components. (2010). Hennig, Christian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:3-34.

Full description at Econpapers || Download paper

5
92011A tail dependence-based dissimilarity measure for financial time series clustering. (2011). De Luca, Giovanni ; Zuccolotto, Paola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:323-340.

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5
102013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Vermunt, Jeroen ; Kollenburg, Geert ; Oberski, Daniel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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4
112020Ensemble of optimal trees, random forest and random projection ensemble classification. (2020). Khan, Zardad ; Lausen, Berthold ; Adler, Werner ; Mahmoud, Osama ; Miftahuddin, Miftahuddin ; Perperoglou, Aris ; Gul, Asma. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:1:d:10.1007_s11634-019-00364-9.

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4
122014Simplicial band depth for multivariate functional data. (2014). Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc ; Lin, Juan. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

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4
132017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Zhang, Rong ; Deng, Yong ; Ashuri, Baabak. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0300-3.

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4
142010A review of robust clustering methods. (2010). Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso ; Mayo-Iscar, Agustin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

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4
152016Quantile composite-based path modeling. (2016). Vinzi, Vincenzo Esposito ; Davino, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0231-9.

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4
162013On mixtures of skew normal and skew $$t$$ -distributions. (2013). Lee, Sharon ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

Full description at Econpapers || Download paper

4
172017Multivariate and functional classification using depth and distance. (2017). Rousseeuw, Peter ; Segaert, Pieter ; Hubert, Mia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0269-3.

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4
182020Gaussian parsimonious clustering models with covariates and a noise component. (2020). Murphy, Keefe. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-019-00373-8.

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3
192020A fragmented-periodogram approach for clustering big data time series. (2020). Poncela, Pilar ; Crato, Nuno ; Caiado, Jorge. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:1:d:10.1007_s11634-019-00365-8.

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3
202014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). Subedi, Sanjeena ; McNicholas, Paul . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

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3
212019Finite mixture of regression models for censored data based on scale mixtures of normal distributions. (2019). Zeller, Camila Borelli ; Benites, Luis ; Lachos, Victor Hugo ; Barbosa, Celso Romulo . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0337-y.

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3
222014A comparison of some criteria for states selection in the latent Markov model for longitudinal data. (2014). Pandolfi, Silvia ; Bacci, Silvia ; Pennoni, F.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:125-145.

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3
232021Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. (2021). Lee, Sharon X ; McLachlan, Geoffrey J ; Tsung-I Lin, . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:15:y:2021:i:2:d:10.1007_s11634-020-00420-9.

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3
242018An efficient random forests algorithm for high dimensional data classification. (2018). Wang, Qiang ; Nguyen, Thuy Thi ; Huang, Joshua Z. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:4:d:10.1007_s11634-018-0318-1.

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3
252017Disjoint factor analysis with cross-loadings. (2017). Vichi, Maurizio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:3:d:10.1007_s11634-016-0263-9.

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3
262015Improved initialisation of model-based clustering using Gaussian hierarchical partitions. (2015). Raftery, Adrian ; Scrucca, Luca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:447-460.

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3
272015Robust model-based clustering via mixtures of skew-t distributions with missing information. (2015). Wang, Wan-Lun. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:423-445.

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3
282020A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C. (2020). Ramon, Yanou ; Evgeniou, Theodoros ; Provost, Foster ; Martens, David. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00418-3.

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292011Fast algorithms for determining (generalized) core groups in social networks. (2011). Batagelj, Vladimir ; Zavernik, Matja . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:129-145.

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302014Clustering of financial time series in risky scenarios. (2014). Durante, Fabrizio ; Pappada, Roberta ; Torelli, Nicola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:359-376.

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312019Exploration of the variability of variable selection based on distances between bootstrap sample results. (2019). Hennig, Christian ; Sauerbrei, Willi. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:4:d:10.1007_s11634-018-00351-6.

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322019Weighted distance-based trees for ranking data. (2019). Plaia, Antonella ; Sciandra, Mariangela. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:2:d:10.1007_s11634-017-0306-x.

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332020Seemingly unrelated clusterwise linear regression. (2020). Galimberti, Giuliano ; Soffritti, Gabriele. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-019-00369-4.

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342011Detection of multivariate outliers in business survey data with incomplete information. (2011). Todorov, Valentin ; Filzmoser, Peter ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:37-56.

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352019sARI: a soft agreement measure for class partitions incorporating assignment probabilities. (2019). Flynt, Abby ; Nugent, Rebecca ; Dean, Nema. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0346-x.

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362018Sparsest factor analysis for clustering variables: a matrix decomposition approach. (2018). Adachi, Kohei ; Trendafilov, Nickolay T. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0284-z.

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372020On the use of quantile regression to deal with heterogeneity: the case of multi-block data. (2020). Vistocco, Domenico ; Davino, Cristina ; Romano, Rosaria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00410-x.

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382011Multiple imputation in principal component analysis. (2011). Josse, Julie ; Pages, Jerome ; Husson, Franois. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:231-246.

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392018Mutual information, phi-squared and model-based co-clustering for contingency tables. (2018). Govaert, Gerard ; Nadif, Mohamed. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-016-0274-6.

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402016Varying uncertainty in CUB models. (2016). Iannario, Maria ; Piccolo, Domenico ; Gottard, Anna. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:2:d:10.1007_s11634-016-0235-0.

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412012Sensory analysis in the food industry as a tool for marketing decisions. (2012). Piccolo, Domenico ; Zuccolotto, Paola ; Manisera, Marica ; Iannario, Maria. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:303-321.

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422019Generalised linear model trees with global additive effects. (2019). Zeileis, Achim ; Hothorn, Torsten ; Seibold, Heidi. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0342-1.

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432015Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance. (2015). Verde, Rosanna ; Irpino, Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:81-106.

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442020Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data. (2020). Anderlucci, Laura ; Viroli, Cinzia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00399-3.

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452015Lasso-constrained regression analysis for interval-valued data. (2015). Giordani, Paolo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:5-19.

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462020Semiparametric mixtures of regressions with single-index for model based clustering. (2020). Xiang, Sijia ; Yao, Weixin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-020-00392-w.

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472013Interpretable clustering using unsupervised binary trees. (2013). Fraiman, Ricardo ; Svarc, Marcela ; Ghattas, Badih. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:2:p:125-145.

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482012Non parametric statistical models for on-line text classification. (2012). Giudici, Paolo ; Cerchiello, Paola. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:277-288.

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492018Outlier detection in interval data. (2018). Silva, Pedro ; Filzmoser, Peter ; Brito, Paula ; Duarte, Pedro A. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0305-y.

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502015Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:1:p:41-57.

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2023Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data. (2023). Tsung-I Lin, ; Wang, Wan-Lun. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:32:y:2023:i:3:d:10.1007_s10260-022-00674-x.

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