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Citation Profile [Updated: 2026-07-12 11:58:33]
5 Years H Index
14
Impact Factor (IF)
0.01
5 Years IF
0.04
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 0.47 0 0 8 8 15 0 0 0 0 0 0.22
2009 0 0.46 0 0 20 28 28 0 8 8 0 0 0.23
2010 0.07 0.46 0.06 0.07 20 48 115 3 3 28 2 28 2 2 66.7 0 0.2
2011 0.1 0.5 0.07 0.08 22 70 106 5 8 40 4 48 4 2 40 1 0.05 0.23
2012 0.4 0.5 0.27 0.29 24 94 48 25 33 42 17 70 20 11 44 1 0.04 0.21
2013 0.17 0.53 0.28 0.27 20 114 94 32 65 46 8 94 25 4 12.5 2 0.1 0.23
2014 0.14 0.52 0.22 0.23 21 135 195 29 95 44 6 106 24 7 24.1 2 0.1 0.22
2015 0.63 0.52 0.35 0.39 21 156 77 55 150 41 26 107 42 14 25.5 1 0.05 0.22
2016 0.57 0.49 0.35 0.33 16 172 55 60 210 42 24 108 36 13 21.7 1 0.06 0.2
2017 0.27 0.51 0.35 0.34 25 197 68 68 278 37 10 102 35 27 39.7 3 0.12 0.2
2018 0.27 0.52 0.24 0.36 41 238 61 56 334 41 11 103 37 12 21.4 1 0.02 0.22
2019 0.21 0.53 0.34 0.39 44 282 87 95 429 66 14 124 48 21 22.1 1 0.02 0.21
2020 0.19 0.63 0.32 0.29 42 324 67 103 532 85 16 147 42 19 18.4 1 0.02 0.3
2021 0.36 0.72 0.42 0.34 42 366 31 153 685 86 31 168 57 20 13.1 3 0.07 0.26
2022 0.25 0.71 0.33 0.27 43 409 34 137 822 84 21 194 52 18 13.1 0 0.21
2023 0.12 0.66 0.23 0.23 43 452 21 105 927 85 10 212 48 28 26.7 1 0.02 0.19
2024 0.22 0.71 0.23 0.24 43 495 4 115 1042 86 19 214 51 32 27.8 0 0.21
2025 0.2 0.94 0.2 0.18 41 536 1 109 1151 86 17 213 39 29 26.6 1 0.02 0.27
2026 0.01 0.05 0.04 12 548 0 25 1176 84 1 212 9 0 0
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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64
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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41
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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30
42011Model-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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30
52010A 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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28
62011A 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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25
7A 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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24
82017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Deng, Yong ; Zhang, Rong ; 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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22
92013Clustering 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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21
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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19
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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18
122015Modeling 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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16
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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15
142018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Janitza, Silke ; Celik, Ender ; Boulesteix, Anne-Laure. 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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14
15Clustering 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
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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13
172016A mixture of generalized hyperbolic factor analyzers. (2016). Browne, Ryan P ; McNicholas, Paul D ; Tortora, Cristina. 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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11
182017Multivariate 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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11
192009Trimming 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
202013Fuzzy 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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11
212008A DC programming approach for feature selection in support vector machines learning. (2008). Le Thi, Hoai An ; Nguyen, Van ; Dinh, Tao Pham. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

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11
222013Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. (2013). Scrucca, Luca ; McNicholas, Paul ; 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
232011Fast 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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10
242011Model-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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10
252019Finite 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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10
262015Robust 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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9
272010A simulation study to compare robust clustering methods based on mixtures. (2010). Hennig, Christian ; Coretto, Pietro. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:111-135.

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9
282019Finite mixture of regression models for censored data based on scale mixtures of normal distributions. (2019). Lachos, Victor Hugo ; Benites, Luis ; Barbosa, Celso Romulo ; Zeller, Camila Borelli. 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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9
292016Model 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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9
302014New 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
312014Latent 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
322019From 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
332014Robust 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
342016Quantile 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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8
352013A 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
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
372014A 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
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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7
392017Mixture models for ordinal responses to account for uncertainty of choice. (2017). Schneider, Micha ; Iannario, Maria ; Tutz, Gerhard ; Piccolo, Domenico. 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
402020Gaussian parsimonious clustering models with covariates and a noise component. (2020). Murphy, Thomas Brendan. 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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7
412009New 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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7
422012Sensory 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
432020A 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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7
442010Inequalities between multi-rater kappas. (2010). Warrens, Matthijs . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:271-286.

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7
452012Exploring 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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7
462015Improved initialisation of model-based clustering using Gaussian hierarchical partitions. (2015). Scrucca, Luca ; Raftery, Adrian. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:447-460.

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

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7
482010Robust 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
492015Basic 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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6
502020A 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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6
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

8
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.

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5
32022Detecting and classifying outliers in big functional data. (2022). Lillo, Rosa E ; Ojo, Oluwasegun Taiwo ; Sguera, Carlo ; Anta, Antonio Fernandez. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:3:d:10.1007_s11634-021-00460-9.

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3
42019Finite mixture of regression models for censored data based on scale mixtures of normal distributions. (2019). Lachos, Victor Hugo ; Benites, Luis ; Barbosa, Celso Romulo ; Zeller, Camila Borelli. 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
52022Robust clustering via mixtures of t factor analyzers with incomplete data. (2022). Wang, Wan-Lun ; Tsung-I Lin, . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:3:d:10.1007_s11634-021-00453-8.

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3
62017A novel method for forecasting time series based on fuzzy logic and visibility graph. (2017). Deng, Yong ; Zhang, Rong ; 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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3
72020Enhancing techniques for learning decision trees from imbalanced data. (2020). Guermazi, Radhouane ; Hammami, Mohamed ; Chaabane, Ikram. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:3:d:10.1007_s11634-019-00354-x.

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2
82013Fuzzy 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

2
92011Model-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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2
102019Studying crime trends in the USA over the years 2000–2012. (2019). Zhu, Xuwen ; Melnykov, Volodymyr. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0326-1.

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2
112022Model-based clustering and outlier detection with missing data. (2022). Tong, Hung ; Tortora, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:1:d:10.1007_s11634-021-00476-1.

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2
122023A structured covariance ensemble for sufficient dimension reduction. (2023). Xue, Yuan ; Wang, Qin. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:17:y:2023:i:3:d:10.1007_s11634-022-00524-4.

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2
132015Basic 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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2
142019Exploration 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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2
152010Methods 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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2
162018A computationally fast variable importance test for random forests for high-dimensional data. (2018). Janitza, Silke ; Celik, Ender ; Boulesteix, Anne-Laure. 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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2
172023Robust instance-dependent cost-sensitive classification. (2023). de Vos, Simon ; Verbeke, Wouter ; Vanderschueren, Toon ; Verdonck, Tim. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:17:y:2023:i:4:d:10.1007_s11634-022-00533-3.

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2
182019Finite 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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2
192011Fast 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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2
202016Model 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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2
212023Notes on the H-measure of classifier performance. (2023). Hand, D J ; Anagnostopoulos, C. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:17:y:2023:i:1:d:10.1007_s11634-021-00490-3.

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2
222016Factor probabilistic distance clustering (FPDC): a new clustering method. (2016). Summa, Mireille Gettler ; Marino, Marina ; Palumbo, Francesco ; Tortora, Cristina. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:4:d:10.1007_s11634-015-0219-5.

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2
232020Mixtures 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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2
242025RGA: a unified measure of predictive accuracy. (2025). Giudici, Paolo ; Raffinetti, Emanuela. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:19:y:2025:i:1:d:10.1007_s11634-023-00574-2.

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2
252020Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations. (2020). Lillo, Rosa E ; Franco, Alba M. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:3:d:10.1007_s11634-019-00380-9.

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262015Robust 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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272022Correction to: Multivariate cluster weighted models using skewed distributions. (2022). Tomarchio, Salvatore D ; McNicholas, Paul D ; Punzo, Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:4:d:10.1007_s11634-021-00487-y.

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282023Benchmarking distance-based partitioning methods for mixed-type data. (2023). Papatsouma, Ioanna ; Costa, Efthymios ; Markos, Angelos. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:17:y:2023:i:3:d:10.1007_s11634-022-00521-7.

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292022Multivariate cluster weighted models using skewed distributions. (2022). Tomarchio, Salvatore D ; McNicholas, Paul D ; Punzo, Antonio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:16:y:2022:i:1:d:10.1007_s11634-021-00480-5.

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302020Data projections by skewness maximization under scale mixtures of skew-normal vectors. (2020). Arevalillo, Jorge M ; Navarro, Hilario. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:14:y:2020:i:2:d:10.1007_s11634-020-00388-6.

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312019Directional co-clustering. (2019). Nadif, Mohamed ; Salah, Aghiles. 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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2026Unlocking the institutional foundations of green innovation: A machine learning analysis. (2026). Wang, Tao ; Luo, Kaifan ; Yu, Chao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:225:y:2026:i:c:s0040162526000296.

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