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Citation Profile [Updated: 2020-06-03 07:38:54]
5 Years H
7
Impact Factor
0.16
5 Years IF
0.22
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 1990 0 0.08 0 0 0 0 0 0 0 0 0 0 0.04 1991 0 0.08 0 0 0 0 0 0 0 0 0 0 0.04 1992 0 0.09 0 0 0 0 0 0 0 0 0 0 0.04 1993 0 0.1 0 0 0 0 0 0 0 0 0 0 0.05 1994 0 0.11 0 0 0 0 0 0 0 0 0 0 0.06 1995 0 0.2 0 0 0 0 0 0 0 0 0 0 0.08 1996 0 0.22 0 0 0 0 0 0 0 0 0 0 0.1 1997 0 0.23 0 0 0 0 0 0 0 0 0 0 0.1 1998 0 0.27 0 0 0 0 0 0 0 0 0 0 0.12 1999 0 0.29 0 0 0 0 0 0 0 0 0 0 0.14 2000 0 0.34 0 0 0 0 0 0 0 0 0 0 0.15 2001 0 0.36 0 0 0 0 0 0 0 0 0 0 0.16 2002 0 0.4 0 0 0 0 0 0 0 0 0 0 0.21 2003 0 0.41 0 0 0 0 0 0 0 0 0 0 0.2 2004 0 0.46 0 0 0 0 0 0 0 0 0 0 0.21 2005 0 0.47 0 0 0 0 0 0 0 0 0 0 0.22 2006 0 0.47 0 0 0 0 0 0 0 0 0 0 0.21 2007 0 0.42 0 0 0 0 0 0 0 0 0 0 0.19 2008 0 0.45 0 0 8 8 8 0 0 0 0 0 0.21 2009 0 0.44 0 0 20 28 11 0 8 8 0 0 0.21 2010 0.07 0.44 0.06 0.07 20 48 52 3 3 28 2 28 2 2 66.7 0 0.18 2011 0.05 0.46 0.03 0.04 22 70 32 2 5 40 2 48 2 0 0 0.21 2012 0.36 0.47 0.23 0.26 24 94 21 22 27 42 15 70 18 10 45.5 1 0.04 0.19 2013 0.11 0.53 0.18 0.18 20 114 41 21 48 46 5 94 17 1 4.8 1 0.05 0.22 2014 0.07 0.55 0.16 0.15 21 135 66 21 70 44 3 106 16 5 23.8 2 0.1 0.21 2015 0.41 0.55 0.22 0.24 21 156 26 33 105 41 17 107 26 8 24.2 1 0.05 0.21 2016 0.43 0.56 0.28 0.31 35 191 21 54 159 42 18 108 33 16 29.6 2 0.06 0.2 2017 0.21 0.58 0.3 0.28 25 216 18 65 224 56 12 121 34 26 40 3 0.12 0.21 2018 0.2 0.7 0.19 0.25 33 249 2 47 271 60 12 122 30 12 25.5 1 0.03 0.28 2019 0.16 0.88 0.18 0.22 44 293 0 52 323 58 9 135 30 17 32.7 0 0.33
 IF: Impact Factor: C2Y / D2Y AIF: Average Impact Factor for series in RePEc in year y CIF: Cumulative impact factor IF5: 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
12010Methods 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.

25
22013Clustering 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.

14
32013On mixtures of skew normal and skew $$t$$ -distributions. (2013). McLachlan, Geoffrey ; Lee, Sharon . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

14
42011A 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.

11
5A 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.

10
62014Functional data clustering: a survey. (2014). Preda, Cristian ; Jacques, Julien. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

9
72014Simplicial band depth for multivariate functional data. (2014). Lin, Juan ; Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

9
82015Modeling 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.

7
92008A DC programming approach for feature selection in support vector machines learning. (2008). Le Thi, Hoai An ; Nguyen, Van ; Dinh, Tao Pham ; PhamDinh, Tao . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:2:y:2008:i:3:p:259-278.

7
102016A multilevel finite mixture item response model to cluster examinees and schools. (2016). Bartolucci, Francesco ; Gnaldi, Michela ; Bacci, Silvia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:1:d:10.1007_s11634-014-0196-0.

7
112009Trimming algorithms for clustering contaminated grouped data and their robustness. (2009). Ritter, Gunter ; Gallegos, Maria . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:2:p:135-167.

7
122017A 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.

7
132014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). McNicholas, Paul ; Subedi, Sanjeena . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

7
142012Exploring incomplete data using visualization techniques. (2012). Alfons, Andreas ; Filzmoser, Peter ; Templ, Matthias. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:29-47.

6
152010A review of robust clustering methods. (2010). Mayo-Iscar, Agustin ; Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

6
16Clustering 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.

5
172014Latent 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.

5
182014New insights on permutation approach for hypothesis testing on functional data. (2014). Pepelyshev, Andrey ; Melas, Viatcheslav ; Salmaso, Luigi ; Corain, Livio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:339-356.

5
192013Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions. (2013). Morris, Katherine ; McNicholas, Paul ; Scrucca, Luca . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:321-338.

5
202014Estimating common principal components in high dimensions. (2014). McNicholas, Paul ; Browne, Ryan . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:217-226.

5
212011Model-based clustering of time series in group-specific functional subspaces. (2011). Bouveyron, Charles ; Jacques, Julien. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:281-300.

5
222014Graphical 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.

4
232013Multinomial logit models with implicit variable selection. (2013). Zahid, Faisal ; Tutz, Gerhard. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:4:p:393-416.

4
242011Detection of multivariate outliers in business survey data with incomplete information. (2011). Todorov, Valentin ; Templ, Matthias ; Filzmoser, Peter. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:1:p:37-56.

4
252014Robust clustering around regression lines with high density regions. (2014). Cerioli, Andrea ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:5-26.

4
262010The k-step spatial sign covariance matrix. (2010). Dehon, Catherine ; Yadine, A. ; Croux, C.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:2:p:137-150.

4
272016A 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.

4
282010A 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.

4
292015Classifying real-world data with the $${ DD}\alpha$$ D D Î± -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.

4
302012Sensory 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.

4
312013A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Oberski, Daniel ; Vermunt, Jeroen ; Kollenburg, Geert . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

4
322016Model 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.

3
332017Multivariate 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.

3
342011Fast algorithms for determining (generalized) core groups in social networks. (2011). Zavernik, Matja ; Batagelj, Vladimir . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:129-145.

3
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.

3
362011Multiple imputation in principal component analysis. (2011). Husson, Franois ; Josse, Julie ; Pages, Jerome. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:231-246.

3
372016Varying 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.

3
382015Maximum likelihood estimation of Gaussian mixture models without matrix operations. (2015). McLachlan, Geoffrey ; Nguyen, Hien. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:4:p:371-394.

3
392015Enhancing the selection of a model-based clustering with external categorical variables. (2015). Baudry, Jean-Patrick ; Ferreira, Ana ; Amorim, Maria ; Celeux, Gilles ; Cardoso, Margarida . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:2:p:177-196.

3
402010Robust classification for skewed data. (2010). Hubert, Mia ; Van der Veeken, Stephan . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:239-254.

3
412011Correcting Jaccard and other similarity indices for chance agreement in cluster analysis. (2011). Albatineh, Ahmed ; Niewiadomska-Bugaj, Magdalena . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:3:p:179-200.

3
422011Model-based clustering and segmentation of time series with changes in regime. (2011). Same, Allou ; Aknin, Patrice ; Govaert, Gerard ; Chamroukhi, Faicel . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:4:p:301-321.

3
432012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. (2012). Van den Poel, Dirk ; Camanho, Ana ; Migueis, Vera ; JoÃ£o FalcÃ£o e Cunha, . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:4:p:337-353.

3
442010A general approach to handling missing values in Procrustes analysis. (2010). Albers, Casper ; Gower, John . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:223-237.

3
452015Robust 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.

3
462017A fuzzy approach to robust regression clustering. (2017). Farcomeni, Alessio ; Mayo-Iscar, Agustin ; Garcia-Escudero, Luis Angel ; Dotto, Francesco. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-016-0271-9.

2
472012A latent variables approach for clustering mixed binary and continuous variables within a Gaussian mixture model. (2012). Morlini, Isabella . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:6:y:2012:i:1:p:5-28.

2
482010Tag SNP selection based on clustering according to dominant sets found using replicator dynamics. (2010). Frommlet, Florian . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:1:p:65-83.

2
492015A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering. (2015). Yamashita, Naoto ; Mayekawa, Shin-Ichi . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:3:p:243-266.

2
502010Detecting atypical observations in financial data: the forward search for elliptical copulas. (2010). bellini, tiziano. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:4:y:2010:i:4:p:287-299.

2
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12017A 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.

7
22014Functional data clustering: a survey. (2014). Preda, Cristian ; Jacques, Julien. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:231-255.

6
32013On mixtures of skew normal and skew $$t$$ -distributions. (2013). McLachlan, Geoffrey ; Lee, Sharon . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:3:p:241-266.

5
42013Clustering 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.

4
52017Multivariate 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.

3
62016A 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.

3
72017Mixture 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.

3
82015Modeling 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.

3
92011Fast algorithms for determining (generalized) core groups in social networks. (2011). Zavernik, Matja ; Batagelj, Vladimir . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:5:y:2011:i:2:p:129-145.

3
102014Clustering 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.

3
112016Model 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.

3
122016Varying 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.

2
132016The $$k$$ k -means algorithm for 3D shapes with an application to apparel design. (2016). Vinue, Guillermo ; Alemany, Sandra ; Simo, Amelia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:1:d:10.1007_s11634-014-0187-1.

2
142014Simplicial band depth for multivariate functional data. (2014). Lin, Juan ; Sun, Ying ; Lopez-Pintado, Sara ; Genton, Marc . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:321-338.

2
152014Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions. (2014). McNicholas, Paul ; Subedi, Sanjeena . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:2:p:167-193.

2
162014A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatmentâsubgroup interactions. (2014). Dusseldorp, E. ; Doove, L. ; Deun, K. ; Mechelen, I.. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:4:p:403-425.

2
172016A multilevel finite mixture item response model to cluster examinees and schools. (2016). Bartolucci, Francesco ; Gnaldi, Michela ; Bacci, Silvia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:1:d:10.1007_s11634-014-0196-0.

2
182009Trimming algorithms for clustering contaminated grouped data and their robustness. (2009). Ritter, Gunter ; Gallegos, Maria . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:3:y:2009:i:2:p:135-167.

2
192015Enhancing the selection of a model-based clustering with external categorical variables. (2015). Baudry, Jean-Patrick ; Ferreira, Ana ; Amorim, Maria ; Celeux, Gilles ; Cardoso, Margarida . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:9:y:2015:i:2:p:177-196.

2
202014Robust clustering around regression lines with high density regions. (2014). Cerioli, Andrea ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:1:p:5-26.

2
212014A 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.

2
222011A 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.

2
232014New insights on permutation approach for hypothesis testing on functional data. (2014). Pepelyshev, Andrey ; Melas, Viatcheslav ; Salmaso, Luigi ; Corain, Livio. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:339-356.

2
242016The $$k$$ k -means algorithm for 3D shapes with an application to apparel design. (2016). Alemany, Sandra ; Vinue, Guillermo ; Simo, Amelia. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:10:y:2016:i:1:p:103-132.

2
252014Principal differential analysis of the Aneurisk65 data set. (2014). Sangalli, Laura ; Vantini, Simone ; DallaRosa, Matilde . In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:8:y:2014:i:3:p:287-302.

2
262013Multinomial logit models with implicit variable selection. (2013). Zahid, Faisal ; Tutz, Gerhard. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:7:y:2013:i:4:p:393-416.

2
272010Methods 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.

2
Citing documents used to compute impact factor: 9
YearTitle
2019A model-based fuzzy analysis of questionnaires. (2019). Simone, R ; Nardo, E. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:28:y:2019:i:2:d:10.1007_s10260-018-00443-9.

2019Likelihood-based tests for a class of misspecified finite mixture models for ordinal categorical data. (2019). Giordano, Sabrina ; Colombi, Roberto. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:28:y:2019:i:4:d:10.1007_s11749-019-00626-w.

2019Empirical analysis and strategy suggestions on the value-added capacity of photovoltaic industry value chain in China. (2019). Lin, Xiangmin ; Liu, Jicheng. In: Energy. RePEc:eee:energy:v:180:y:2019:i:c:p:356-366.

2019Robust sieve estimators for functional canonical correlation analysis. (2019). Kudraszow, Nadia ; Boente, Graciela ; Alvarez, Agustin. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:170:y:2019:i:c:p:46-62.

2019New distance measures for classifying X-ray astronomy data into stellar classes. (2019). Getman, Konstantin ; Carcamo, Javier ; Baillo, Amparo. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:2:d:10.1007_s11634-018-0309-2.

2019Rectangular latent Markov models for timeâspecific clustering, with an analysis of the wellbeing of nations. (2019). Zelli, Roberto ; Pittau, M. Grazia ; Farcomeni, Alessio ; Anderson, Gordon. In: Journal of the Royal Statistical Society Series C. RePEc:bla:jorssc:v:68:y:2019:i:3:p:603-621.

2019Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian Networks. (2019). Huang, Zhiming ; Jiang, Wen ; Yang, Lin. In: Applied Mathematics and Computation. RePEc:eee:apmaco:v:347:y:2019:i:c:p:417-428.

2019A novel hybrid approach to Baltic Dry Index forecasting based on a combined dynamic fluctuation network and artificial intelligence method. (2019). Wang, M G ; Chen, M Y ; Zhang, X ; Stanley, H E ; Ge, Y E. In: Applied Mathematics and Computation. RePEc:eee:apmaco:v:361:y:2019:i:c:p:499-516.

2019Robust multivariate and functional archetypal analysis with application to financial time series analysis. (2019). Epifanio, Irene ; Moliner, Jesus. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:519:y:2019:i:c:p:195-208.

Recent citations
##### Recent citations received in 2018

YearCiting document
2018Eigenvalues and constraints in mixture modeling: geometric and computational issues. (2018). Greselin, Francesca ; Mayo-Iscar, Agustin ; Ingrassia, Salvatore ; Gordaliza, Alfonso ; Garcia-Escudero, Luis Angel. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:12:y:2018:i:2:d:10.1007_s11634-017-0293-y.

##### Recent citations received in 2017

YearCiting document
2017Fuzzy data analysis and classification. (2017). DUrso, Pierpaolo ; Gil, Maria Angeles. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:11:y:2017:i:4:d:10.1007_s11634-017-0304-z.

2017Rectangular latent Markov models for time-specific clustering. (2017). Zelli, Roberto ; Pittau, M. Grazia ; Farcomeni, Alessio ; Anderson, Gordon. In: Working Papers. RePEc:tor:tecipa:tecipa-589.