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Citation Profile [Updated: 2023-11-03 08:28:08]
5 Years H Index
13
Impact Factor (IF)
0.25
5 Years IF
0.27
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 12 0 0 0 0 0 0.23
2009 0 0.47 0 0 20 28 26 0 8 8 0 0 0.24
2010 0.07 0.48 0.06 0.07 20 48 104 3 3 28 2 28 2 2 66.7 0 0.21
2011 0.1 0.52 0.07 0.08 22 70 87 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 79 32 65 46 8 94 25 4 12.5 2 0.1 0.24
2014 0.14 0.55 0.21 0.22 21 135 170 28 94 44 6 106 23 7 25 2 0.1 0.23
2015 0.63 0.55 0.35 0.39 21 156 68 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 59 68 277 37 10 102 35 27 39.7 3 0.12 0.22
2018 0.27 0.56 0.24 0.36 41 238 46 56 333 41 11 103 37 12 21.4 1 0.02 0.24
2019 0.21 0.58 0.33 0.39 44 282 55 94 427 66 14 124 48 21 22.3 1 0.02 0.23
2020 0.19 0.7 0.31 0.29 42 324 33 102 529 85 16 147 42 19 18.6 1 0.02 0.33
2021 0.36 0.87 0.42 0.34 42 366 15 153 682 86 31 168 57 20 13.1 3 0.07 0.32
2022 0.25 1 0.33 0.27 43 409 1 137 819 84 21 194 52 18 13.1 0 0.31
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.

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48
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.

Full description at Econpapers || Download paper

36
32010A 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
42013On 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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26
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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22
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.

Full description at Econpapers || Download paper

21
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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17
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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15
12Clustering 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
132014Variational 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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14
142015Modeling 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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13
152009Trimming 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
162016Varying 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
172013Dimension 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
182016A 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
192018A 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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10
202008A 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
212010A 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
222011Fast 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
232011Model-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
242017Multivariate 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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8
252014New 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
262014Latent 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
272019From 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
282014Robust 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
292013A 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
302015Improved 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
312014A 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
322015Robust 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
332016Model 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
342017Mixture 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
352012Sensory 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
362011Assessing 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
372011Multiple 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
382014Graphical 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
392010Robust 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
402009New 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
412016Quantile 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
422012Exploring 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
432011Correcting 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
442015Classifying real-world data with the $${ DD}\alpha $$ D D ? -procedure. (2015). Mosler, Karl ; Lange, Tatjana ; Mozharovskyi, Pavlo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:3:p:287-314.

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5
452012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Van den Poel, Dirk ; Migueis, Vera ; João Falcão e Cunha, ; Camanho, Ana. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

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5
462010The 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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5
472017Disjoint 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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5
482012Analyzing multiset data by the Power STATIS-ACT method. (2012). Dosse, Mohammed Bennani ; Benasseni, Jacques . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:49-65.

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5
492011Detection 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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5
502015Maximum likelihood estimation of Gaussian mixture models without matrix operations. (2015). Nguyen, Hien ; McLachlan, Geoffrey . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:371-394.

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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

22
22011Model-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

10
32018A 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

9
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

8
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.

Full description at Econpapers || Download paper

8
62019From 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

7
72014Clustering 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.

Full description at Econpapers || Download paper

7
82017A 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.

Full description at Econpapers || Download paper

6
92010Methods 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

6
102014A 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.

Full description at Econpapers || Download paper

6
112010A 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.

Full description at Econpapers || Download paper

6
122017Multivariate 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.

Full description at Econpapers || Download paper

5
132014Simplicial 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.

Full description at Econpapers || Download paper

5
142013On 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

5
152017Disjoint 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.

Full description at Econpapers || Download paper

5
162013Clustering 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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5
172020Ensemble 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
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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4
192013Fuzzy 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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4
202016Quantile 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.

Full description at Econpapers || Download paper

4
212016Varying 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.

Full description at Econpapers || Download paper

4
222013A 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.

Full description at Econpapers || Download paper

4
232014Variational 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.

Full description at Econpapers || Download paper

4
242009New 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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4
252015Improved 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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4
262019A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification. (2019). Algamal, Zakariya Yahya ; Lee, Muhammad Hisyam. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0334-1.

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3
272012Analyzing multiset data by the Power STATIS-ACT method. (2012). Dosse, Mohammed Bennani ; Benasseni, Jacques . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:49-65.

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3
282018Mutual 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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292019Finite 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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302016Model 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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312018Sparsest 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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322020A 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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332018Non-symmetrical composite-based path modeling. (2018). Dolce, Pasquale ; Lauro, Natale Carlo ; Vinzi, Vincenzo Esposito. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0302-1.

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342018Minimum distance method for directional data and outlier detection. (2018). Sau, Mercedes Fernandez ; Rodriguez, Daniel A. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:3:d:10.1007_s11634-017-0287-9.

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352015Lasso-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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362019Directional co-clustering. (2019). Salah, Aghiles ; Nadif, Mohamed. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0323-4.

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372019Weighted 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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382015Robust 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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392014New 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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402021Mixtures 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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412019Assessing trimming methodologies for clustering linear regression data. (2019). Riani, Marco ; Cerioli, Andrea ; Perrotta, Domenico ; Torti, Francesca. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0331-4.

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422015Basic statistics for distributional symbolic variables: a new metric-based approach. (2015). Verde, Rosanna ; Irpino, Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:2:p:143-175.

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432016A 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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442014Robust 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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452011Fast 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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462020Mixtures 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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472011Panel data analysis: a survey on model-based clustering of time series. (2011). Fruhwirth-Schnatter, Sylvia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:251-280.

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482019Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering. (2019). Young, Derek S ; Nilo-Poyanco, Ricardo ; Hewage, Dilrukshi C ; Chen, XI. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:4:d:10.1007_s11634-019-00361-y.

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492019Generalised 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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502011Multiple 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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