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Advances in Data Analysis and Classification

2008 - 2016

Current editor(s): H.-H. Bock, W. Gaul, A. Okada, M. Vichi and C. Weihs

From:
Springer
German Classification Society - Gesellschaft für Klassifikation (GfKl)
Japanese Classification Society (JCS)
Classification and Data Analysis Group of the Italian Statistical Society (CLADAG)
International Federation of Classification Societies (IFCS)
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Volume 10, issue 2, 2016

Special issue on Advances in latent variables: methods, models and applications pp. 133-137 Downloads
Angela Montanari and Maurizio Vichi
Micro–macro multilevel latent class models with multiple discrete individual-level variables pp. 139-154 Downloads
Margot Bennink, Marcel A. Croon, Brigitte Kroon and Jeroen K. Vermunt
Model based clustering for mixed data: clustMD pp. 155-169 Downloads
Damien McParland and Isobel Claire Gormley
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis pp. 171-182 Downloads
D. L. Oberski
Latent class model with conditional dependency per modes to cluster categorical data pp. 183-207 Downloads
Matthieu Marbac, Christophe Biernacki and Vincent Vandewalle
Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models pp. 209-224 Downloads
Fetene B. Tekle, Dereje W. Gudicha and Jeroen K. Vermunt
Varying uncertainty in CUB models pp. 225-244 Downloads
Anna Gottard, Maria Iannario and Domenico Piccolo
Item selection by latent class-based methods: an application to nursing home evaluation pp. 245-262 Downloads
Francesco Bartolucci, Giorgio E. Montanari and Silvia Pandolfi
Dynamic segmentation with growth mixture models pp. 263-279 Downloads
Francesca Bassi

Volume 10, issue 1, 2016

A principal component method to impute missing values for mixed data pp. 5-26 Downloads
Vincent Audigier, François Husson and Julie Josse
Extreme logistic regression pp. 27-52 Downloads
Che Ngufor and Janusz Wojtusiak
A multilevel finite mixture item response model to cluster examinees and schools pp. 53-70 Downloads
Michela Gnaldi, Silvia Bacci and Francesco Bartolucci
A comparison of reliability coefficients for psychometric tests that consist of two parts pp. 71-84 Downloads
Matthijs J. Warrens
Supervised clustering of variables pp. 85-101 Downloads
Mingkun Chen and Evelyne Vigneau
The $$k$$ k -means algorithm for 3D shapes with an application to apparel design pp. 103-132 Downloads
Guillermo Vinué, Amelia Simó and Sandra Alemany

Volume 9, issue 4, 2015

Maximum likelihood estimation of Gaussian mixture models without matrix operations pp. 371-394 Downloads
Hien Nguyen and Geoffrey McLachlan
Probabilistic assessment of model-based clustering pp. 395-422 Downloads
Xuwen Zhu and Volodymyr Melnykov
Robust model-based clustering via mixtures of skew-t distributions with missing information pp. 423-445 Downloads
Wan-Lun Wang and Tsung-I Lin
Improved initialisation of model-based clustering using Gaussian hierarchical partitions pp. 447-460 Downloads
Luca Scrucca and Adrian Raftery
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library pp. 461-481 Downloads
Marco Riani, Andrea Cerioli, Domenico Perrotta and Francesca Torti
Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition pp. 483-502 Downloads
Maria Marino and Marco Alfó

Volume 9, issue 3, 2015

A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering pp. 243-266 Downloads
Naoto Yamashita and Shin-ichi Mayekawa
Probabilistic auto-associative models and semi-linear PCA pp. 267-286 Downloads
Serge Iovleff
Classifying real-world data with the $${ DD}\alpha $$ D D α -procedure pp. 287-314 Downloads
Pavlo Mozharovskyi, Karl Mosler and Tatjana Lange
Financial clustering in presence of dominant markets pp. 315-339 Downloads
Edoardo Otranto and Romana Gargano
A diffusion model for churn prediction based on sociometric theory pp. 341-365 Downloads
Uroš Droftina, Mitja Å Tular and Andrej Košir

Volume 9, issue 2, 2015

Basic statistics for distributional symbolic variables: a new metric-based approach pp. 143-175 Downloads
Antonio Irpino and Rosanna Verde
Enhancing the selection of a model-based clustering with external categorical variables pp. 177-196 Downloads
Jean-Patrick Baudry, Margarida Cardoso, Gilles Celeux, Maria Amorim and Ana Ferreira
Mixture model averaging for clustering pp. 197-217 Downloads
Yuhong Wei and Paul McNicholas
Spline-based nonlinear biplots pp. 219-238 Downloads
Patrick Groenen, Niël Roux and Sugnet Gardner-Lubbe

Volume 9, issue 1, 2015

Lasso-constrained regression analysis for interval-valued data pp. 5-19 Downloads
Paolo Giordani
Trimmed fuzzy clustering for interval-valued data pp. 21-40 Downloads
Pierpaolo D’Urso, Livia Giovanni and Riccardo Massari
Modeling and forecasting interval time series with threshold models pp. 41-57 Downloads
Paulo Rodrigues and Nazarii Salish
Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm pp. 59-79 Downloads
Meiling Chen, Huiwen Wang and Zhongfeng Qin
Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance pp. 81-106 Downloads
Antonio Irpino and Rosanna Verde
Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma pp. 107-119 Downloads
Christiane Guinot, Denis Malvy, Jean-François Schémann, Filipe Afonso, Raja Haddad and Edwin Diday

Volume 8, issue 4, 2014

Clustering of financial time series in risky scenarios pp. 359-376 Downloads
Fabrizio Durante, Roberta Pappadà and Nicola Torelli
Feature selection for fault level diagnosis of planetary gearboxes pp. 377-401 Downloads
Zhiliang Liu, Xiaomin Zhao, Ming Zuo and Hongbing Xu
A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions pp. 403-425 Downloads
L. Doove, E. Dusseldorp, K. Deun and I. Mechelen
A latent class analysis of the public attitude towards the euro adoption in Poland pp. 427-442 Downloads
Ewa Genge

Volume 8, issue 3, 2014

Functional data clustering: a survey pp. 231-255 Downloads
Julien Jacques and Cristian Preda
Spatial functional normal mixed effect approach for curve classification pp. 257-285 Downloads
Maria Ruiz-Medina, Rosa Espejo and Elvira Romano
Principal differential analysis of the Aneurisk65 data set pp. 287-302 Downloads
Matilde Dalla Rosa, Laura Sangalli and Simone Vantini
Hilbertian spatial periodically correlated first order autoregressive models pp. 303-319 Downloads
H. Haghbin, Z. Shishebor and A. Soltani
Simplicial band depth for multivariate functional data pp. 321-338 Downloads
Sara López-Pintado, Ying Sun, Juan Lin and Marc Genton
New insights on permutation approach for hypothesis testing on functional data pp. 339-356 Downloads
Livio Corain, Viatcheslav Melas, Andrey Pepelyshev and Luigi Salmaso

Volume 8, issue 2, 2014

A comparison of some criteria for states selection in the latent Markov model for longitudinal data pp. 125-145 Downloads
Silvia Bacci, Silvia Pandolfi and F. Pennoni
Graphical tools for model-based mixture discriminant analysis pp. 147-165 Downloads
Luca Scrucca
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions pp. 167-193 Downloads
Sanjeena Subedi and Paul McNicholas
Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy pp. 195-216 Downloads
Tobias Voigt, Roland Fried, Michael Backes and Wolfgang Rhode
Estimating common principal components in high dimensions pp. 217-226 Downloads
Ryan Browne and Paul McNicholas

Volume 8, issue 1, 2014

Robust clustering around regression lines with high density regions pp. 5-26 Downloads
Andrea Cerioli and Domenico Perrotta
A constrained robust proposal for mixture modeling avoiding spurious solutions pp. 27-43 Downloads
L. García-Escudero, A. Gordaliza and A. Mayo-Iscar
A LASSO-penalized BIC for mixture model selection pp. 45-61 Downloads
Sakyajit Bhattacharya and Paul McNicholas
Classification of brain activation via spatial Bayesian variable selection in fMRI regression pp. 63-83 Downloads
Stefanie Kalus, Philipp Sämann and Ludwig Fahrmeir
Mixtures of biased sentiment analysers pp. 85-103 Downloads
Michael Salter-Townshend and Thomas Murphy
Latent class CUB models pp. 105-119 Downloads
Leonardo Grilli, Maria Iannario, Domenico Piccolo and Carla Rampichini
Page updated 2016-07-26