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German Classification Society - Gesellschaft für Klassifikation (GfKl)
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Japanese Classification Society (JCS)
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Classification and Data Analysis Group of the Italian Statistical Society (CLADAG)
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International Federation of Classification Societies (IFCS)
Advances in Data Analysis and Classification
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2016, Volume 10, Issue 3
- 285-304 Pruning boxes in a box-based classification method
by Vincenzo Spinelli - 305-326 Marginal and simultaneous predictive classification using stratified graphical models
by Henrik Nyman & Jie Xiong & Johan Pensar & Jukka Corander - 327-349 Semi-supervised model-based clustering with positive and negative constraints
by Volodymyr Melnykov & Igor Melnykov & Semhar Michael - 351-373 The forward search interactive outlier detection in cointegrated VAR analysis
by Tiziano Bellini - 375-390 Quantile regression with group lasso for classification
by Hussein Hashem & Veronica Vinciotti & Rahim Alhamzawi & Keming Yu - 391-415 Clustering of time series using quantile autocovariances
by Borja Lafuente-Rego & José A. Vilar
2016, Volume 10, Issue 2
- 133-137 Special issue on Advances in latent variables: methods, models and applications
by Angela Montanari & Maurizio Vichi - 139-154 Micro–macro multilevel latent class models with multiple discrete individual-level variables
by Margot Bennink & Marcel A. Croon & Brigitte Kroon & Jeroen K. Vermunt - 155-169 Model based clustering for mixed data: clustMD
by Damien McParland & Isobel Claire Gormley - 171-182 Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
by D. L. Oberski - 183-207 Latent class model with conditional dependency per modes to cluster categorical data
by Matthieu Marbac & Christophe Biernacki & Vincent Vandewalle - 209-224 Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models
by Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt - 225-244 Varying uncertainty in CUB models
by Anna Gottard & Maria Iannario & Domenico Piccolo - 245-262 Item selection by latent class-based methods: an application to nursing home evaluation
by Francesco Bartolucci & Giorgio E. Montanari & Silvia Pandolfi - 263-279 Dynamic segmentation with growth mixture models
by Francesca Bassi
2016, Volume 10, Issue 1
- 5-26 A principal component method to impute missing values for mixed data
by Vincent Audigier & François Husson & Julie Josse - 27-52 Extreme logistic regression
by Che Ngufor & Janusz Wojtusiak - 53-70 A multilevel finite mixture item response model to cluster examinees and schools
by Michela Gnaldi & Silvia Bacci & Francesco Bartolucci - 71-84 A comparison of reliability coefficients for psychometric tests that consist of two parts
by Matthijs J. Warrens - 85-101 Supervised clustering of variables
by Mingkun Chen & Evelyne Vigneau - 103-132 The $$k$$ k -means algorithm for 3D shapes with an application to apparel design
by Guillermo Vinué & Amelia Simó & Sandra Alemany
2015, Volume 9, Issue 4
- 371-394 Maximum likelihood estimation of Gaussian mixture models without matrix operations
by Hien Nguyen & Geoffrey McLachlan - 395-422 Probabilistic assessment of model-based clustering
by Xuwen Zhu & Volodymyr Melnykov - 423-445 Robust model-based clustering via mixtures of skew-t distributions with missing information
by Wan-Lun Wang & Tsung-I Lin - 447-460 Improved initialisation of model-based clustering using Gaussian hierarchical partitions
by Luca Scrucca & Adrian Raftery - 461-481 Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library
by Marco Riani & Andrea Cerioli & Domenico Perrotta & Francesca Torti - 483-502 Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition
by Maria Marino & Marco Alfó
2015, Volume 9, Issue 3
- 243-266 A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering
by Naoto Yamashita & Shin-ichi Mayekawa - 267-286 Probabilistic auto-associative models and semi-linear PCA
by Serge Iovleff - 287-314 Classifying real-world data with the $${ DD}\alpha $$ D D α -procedure
by Pavlo Mozharovskyi & Karl Mosler & Tatjana Lange - 315-339 Financial clustering in presence of dominant markets
by Edoardo Otranto & Romana Gargano - 341-365 A diffusion model for churn prediction based on sociometric theory
by Uroš Droftina & Mitja Å tular & Andrej Košir
2015, Volume 9, Issue 2
- 143-175 Basic statistics for distributional symbolic variables: a new metric-based approach
by Antonio Irpino & Rosanna Verde - 177-196 Enhancing the selection of a model-based clustering with external categorical variables
by Jean-Patrick Baudry & Margarida Cardoso & Gilles Celeux & Maria Amorim & Ana Ferreira - 197-217 Mixture model averaging for clustering
by Yuhong Wei & Paul McNicholas - 219-238 Spline-based nonlinear biplots
by Patrick Groenen & Niël Roux & Sugnet Gardner-Lubbe
2015, Volume 9, Issue 1
- 5-19 Lasso-constrained regression analysis for interval-valued data
by Paolo Giordani - 21-40 Trimmed fuzzy clustering for interval-valued data
by Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari - 41-57 Modeling and forecasting interval time series with threshold models
by Paulo Rodrigues & Nazarii Salish - 59-79 Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm
by Meiling Chen & Huiwen Wang & Zhongfeng Qin - 81-106 Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance
by Antonio Irpino & Rosanna Verde - 107-119 Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma
by Christiane Guinot & Denis Malvy & Jean-François Schémann & Filipe Afonso & Raja Haddad & Edwin Diday
2014, Volume 8, Issue 4
- 359-376 Clustering of financial time series in risky scenarios
by Fabrizio Durante & Roberta Pappadà & Nicola Torelli - 377-401 Feature selection for fault level diagnosis of planetary gearboxes
by Zhiliang Liu & Xiaomin Zhao & Ming Zuo & Hongbing Xu - 403-425 A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions
by L. Doove & E. Dusseldorp & K. Deun & I. Mechelen - 427-442 A latent class analysis of the public attitude towards the euro adoption in Poland
by Ewa Genge
2014, Volume 8, Issue 3
- 231-255 Functional data clustering: a survey
by Julien Jacques & Cristian Preda - 257-285 Spatial functional normal mixed effect approach for curve classification
by Maria Ruiz-Medina & Rosa Espejo & Elvira Romano - 287-302 Principal differential analysis of the Aneurisk65 data set
by Matilde Dalla Rosa & Laura Sangalli & Simone Vantini - 303-319 Hilbertian spatial periodically correlated first order autoregressive models
by H. Haghbin & Z. Shishebor & A. Soltani - 321-338 Simplicial band depth for multivariate functional data
by Sara López-Pintado & Ying Sun & Juan Lin & Marc Genton - 339-356 New insights on permutation approach for hypothesis testing on functional data
by Livio Corain & Viatcheslav Melas & Andrey Pepelyshev & Luigi Salmaso
2014, Volume 8, Issue 2
- 125-145 A comparison of some criteria for states selection in the latent Markov model for longitudinal data
by S. Bacci & S. Pandolfi & F. Pennoni - 147-165 Graphical tools for model-based mixture discriminant analysis
by Luca Scrucca - 167-193 Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
by Sanjeena Subedi & Paul McNicholas - 195-216 Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy
by Tobias Voigt & Roland Fried & Michael Backes & Wolfgang Rhode - 217-226 Estimating common principal components in high dimensions
by Ryan Browne & Paul McNicholas
2014, Volume 8, Issue 1
- 5-26 Robust clustering around regression lines with high density regions
by Andrea Cerioli & Domenico Perrotta - 27-43 A constrained robust proposal for mixture modeling avoiding spurious solutions
by L. García-Escudero & A. Gordaliza & A. Mayo-Iscar - 45-61 A LASSO-penalized BIC for mixture model selection
by Sakyajit Bhattacharya & Paul McNicholas - 63-83 Classification of brain activation via spatial Bayesian variable selection in fMRI regression
by Stefanie Kalus & Philipp Sämann & Ludwig Fahrmeir - 85-103 Mixtures of biased sentiment analysers
by Michael Salter-Townshend & Thomas Murphy - 105-119 Latent class CUB models
by Leonardo Grilli & Maria Iannario & Domenico Piccolo & Carla Rampichini
2013, Volume 7, Issue 4
- 363-391 Lagrangian relaxation and pegging test for the clique partitioning problem
by Noriyoshi Sukegawa & Yoshitsugu Yamamoto & Liyuan Zhang - 393-416 Multinomial logit models with implicit variable selection
by Faisal Zahid & Gerhard Tutz - 417-433 A class of semi-supervised support vector machines by DC programming
by Liming Yang & Laisheng Wang - 435-464 Energy-based function to evaluate data stream clustering
by Marcelo Albertini & Rodrigo Mello - 465-489 Infinite Dirichlet mixture models learning via expectation propagation
by Wentao Fan & Nizar Bouguila
2013, Volume 7, Issue 3
- 241-266 On mixtures of skew normal and skew $$t$$ -distributions
by Sharon Lee & Geoffrey McLachlan - 267-279 A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
by Daniel Oberski & Geert Kollenburg & Jeroen Vermunt - 281-300 Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
by Anastasios Bellas & Charles Bouveyron & Marie Cottrell & Jérôme Lacaille - 301-319 Model-based clustering of probability density functions
by Angela Montanari & Daniela Calò - 321-338 Dimension reduction for model-based clustering via mixtures of multivariate $$t$$ t -distributions
by Katherine Morris & Paul McNicholas & Luca Scrucca - 339-357 Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas
by Nema Dean & Rebecca Nugent
2013, Volume 7, Issue 2
- 125-145 Interpretable clustering using unsupervised binary trees
by Ricardo Fraiman & Badih Ghattas & Marcela Svarc - 147-179 Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
by Susanna Röblitz & Marcus Weber - 181-208 A clustering ensemble framework based on elite selection of weighted clusters
by Hamid Parvin & Behrouz Minaei-Bidgoli - 209-235 An isotonic trivariate statistical regression method
by Simone Fiori
2013, Volume 7, Issue 1
- 5-40 Clustering and classification via cluster-weighted factor analyzers
by Sanjeena Subedi & Antonio Punzo & Salvatore Ingrassia & Paul McNicholas - 41-55 Cohen’s weighted kappa with additive weights
by Matthijs Warrens - 57-82 Functional fuzzy clusterwise regression analysis
by Tianyu Tan & Hye Suk & Heungsun Hwang & Jooseop Lim - 83-108 Random walk distances in data clustering and applications
by Sijia Liu & Anastasios Matzavinos & Sunder Sethuraman - 109-119 Regularized logistic discrimination with basis expansions for the early detection of Alzheimer’s disease based on three-dimensional MRI data
by Yuko Araki & Atsushi Kawaguchi & Fumio Yamashita
2012, Volume 6, Issue 4
- 249-251 Special issue on data analysis and classification in marketing—preface by the guest editors
by Daniel Baier & Reinhold Decker - 253-276 Image data analysis and classification in marketing
by Daniel Baier & Ines Daniel & Sarah Frost & Robert Naundorf - 277-288 Non parametric statistical models for on-line text classification
by Paola Cerchiello & Paolo Giudici - 289-302 A note on consistency improvements of AHP paired comparison data
by Wolfgang Gaul & Dominic Gastes - 303-321 Sensory analysis in the food industry as a tool for marketing decisions
by Maria Iannario & Marica Manisera & Domenico Piccolo & Paola Zuccolotto - 323-336 Banking customer satisfaction evaluation: a three-way factor perspective
by Caterina Liberati & Paolo Mariani - 337-353 Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
by Vera Miguéis & Dirk Poel & Ana Camanho & João Falcão e Cunha - 355-365 Analyzing consumers’ shopping behavior using RFID data and pattern mining
by Takanobu Nakahara & Katsutoshi Yada
2012, Volume 6, Issue 3
- 161-162 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi & Claus Weihs - 163-184 Preliminary estimators for a mixture model of ordinal data
by Maria Iannario - 185-200 Time series classification by class-specific Mahalanobis distance measures
by Zoltán Prekopcsák & Daniel Lemire - 201-217 Wavelet-RKHS-based functional statistical classification
by M. Rincón & M. Ruiz-Medina - 219-247 Clustering of functional data in a low-dimensional subspace
by Michio Yamamoto
2012, Volume 6, Issue 2
- 81-83 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi & Claus Weihs - 85-105 Dissimilarity and similarity measures for comparing dendrograms and their applications
by Isabella Morlini & Sergio Zani - 107-130 The influence function of the TCLUST robust clustering procedure
by C. Ruwet & L. García-Escudero & A. Gordaliza & A. Mayo-Iscar - 131-146 Orthogonal rotation in PCAMIX
by Marie Chavent & Vanessa Kuentz-Simonet & Jérôme Saracco - 147-159 Adaptation of interval PCA to symbolic histogram variables
by Sun Makosso-Kallyth & Edwin Diday
2012, Volume 6, Issue 1
- 1-2 Editorial
by Hans-Hermann Bock - 3-4 Editorial
by Maurizio Vichi - 5-28 A latent variables approach for clustering mixed binary and continuous variables within a Gaussian mixture model
by Isabella Morlini - 29-47 Exploring incomplete data using visualization techniques
by Matthias Templ & Andreas Alfons & Peter Filzmoser - 49-65 Analyzing multiset data by the Power STATIS-ACT method
by Jacques Bénasséni & Mohammed Bennani Dosse - 67-79 Cohen’s linearly weighted kappa is a weighted average
by Matthijs Warrens
2011, Volume 5, Issue 4
- 247-249 Special Issue on ‘Time series clustering’
by Hans-Hermann Bock - 251-280 Panel data analysis: a survey on model-based clustering of time series
by Sylvia Frühwirth-Schnatter - 281-300 Model-based clustering of time series in group-specific functional subspaces
by Charles Bouveyron & Julien Jacques - 301-321 Model-based clustering and segmentation of time series with changes in regime
by Allou Samé & Faicel Chamroukhi & Gérard Govaert & Patrice Aknin - 323-340 A tail dependence-based dissimilarity measure for financial time series clustering
by Giovanni De Luca & Paola Zuccolotto - 341-355 Frame potential minimization for clustering short time series
by Tobias Springer & Katja Ickstadt & Joachim Stöckler
2011, Volume 5, Issue 3
- 177-178 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi - 179-200 Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
by Ahmed Albatineh & Magdalena Niewiadomska-Bugaj - 201-213 Linear dimension reduction in classification: adaptive procedure for optimum results
by Karsten Luebke & Claus Weihs - 215-229 Consensus of partitions : a constructive approach
by Alain Guénoche - 231-246 Multiple imputation in principal component analysis
by Julie Josse & Jérôme Pagès & François Husson
2011, Volume 5, Issue 2
- 77-79 Special issue on ‘Network Analysis’ Preface by the Guest Editors
by Anuška Ferligoj & Vladimir Batagelj - 81-94 Network ensemble clustering using latent roles
by Ulrik Brandes & Jürgen Lerner & Uwe Nagel - 95-112 On the use of external information in social network analysis
by Giuseppe Giordano & Maria Vitale - 113-128 Web page importance ranking
by Wolfgang Gaul - 129-145 Fast algorithms for determining (generalized) core groups in social networks
by Vladimir Batagelj & Matjaž Zaveršnik - 147-176 Assessing and accounting for time heterogeneity in stochastic actor oriented models
by Joshua Lospinoso & Michael Schweinberger & Tom Snijders & Ruth Ripley
2011, Volume 5, Issue 1
- 1-2 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi - 3-22 Robust estimation of efficient mean–variance frontiers
by Luigi Grossi & Fabrizio Laurini - 23-36 Constrained principal component analysis of standardized data for biplots with unit-length variable vectors
by Kohei Adachi - 37-56 Detection of multivariate outliers in business survey data with incomplete information
by Valentin Todorov & Matthias Templ & Peter Filzmoser - 57-75 Generalized GIPSCAL re-revisited: a fast convergent algorithm with acceleration by the minimal polynomial extrapolation
by Sébastien Loisel & Yoshio Takane
2010, Volume 4, Issue 4
- 221-222 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi - 223-237 A general approach to handling missing values in Procrustes analysis
by Casper Albers & John Gower - 239-254 Robust classification for skewed data
by Mia Hubert & Stephan Van der Veeken - 255-270 Fuzzy clusterwise quasi-likelihood generalized linear models
by Heungsun Hwang & Marc Tomiuk - 271-286 Inequalities between multi-rater kappas
by Matthijs Warrens - 287-299 Detecting atypical observations in financial data: the forward search for elliptical copulas
by Tiziano Bellini - 301-334 Outlier detection and robust covariance estimation using mathematical programming
by Tri-Dzung Nguyen & Roy Welsch
2010, Volume 4, Issue 2
- 85-87 Special Issue on Robust Methods for Classification and Data Analysis
by Marco Riani & Andrea Cerioli & Peter Rousseeuw - 89-109 A review of robust clustering methods
by Luis García-Escudero & Alfonso Gordaliza & Carlos Matrán & Agustín Mayo-Iscar - 111-135 A simulation study to compare robust clustering methods based on mixtures
by Pietro Coretto & Christian Hennig - 137-150 The k-step spatial sign covariance matrix
by C. Croux & C. Dehon & A. Yadine - 151-167 Robust kernel principal component analysis and classification
by Michiel Debruyne & Tim Verdonck - 169-179 Optimal robust estimates using the Hellinger distance
by Alfio Marazzi & Victor Yohai - 181-197 Inference for robust canonical variate analysis
by Stefan Van Aelst & Gert Willems - 199-220 A review on consistency and robustness properties of support vector machines for heavy-tailed distributions
by Arnout Van Messem & Andreas Christmann
2010, Volume 4, Issue 1
- 1-2 Editorial
by Hans-Hermann Bock - 3-34 Methods for merging Gaussian mixture components
by Christian Hennig - 35-51 Regularized fuzzy clusterwise ridge regression
by Hye Suk & Heungsun Hwang - 53-64 Comparing partitions of two sets of units based on the same variables
by Genane Youness & Gilbert Saporta - 65-83 Tag SNP selection based on clustering according to dominant sets found using replicator dynamics
by Florian Frommlet
2009, Volume 3, Issue 3
- 185-187 Editorial
by Hans-Hermann Bock - 189-204 Parsimonious cluster systems
by François Brucker & Alain Gély - 205-225 Aggregation invariance in general clustering approaches
by François Bavaud - 227-241 Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables
by Véronique Cariou & Stéphane Verdun & Emmanuelle Diaz & El Qannari & Evelyne Vigneau - 243-261 Temporally adaptive estimation of logistic classifiers on data streams
by Christoforos Anagnostopoulos & Dimitris Tasoulis & Niall Adams & David Hand - 263-279 New robust dynamic plots for regression mixture detection
by Domenico Perrotta & Marco Riani & Francesca Torti - 281-290 The value of the last digit: statistical fraud detection with digit analysis
by Stephan Dlugosz & Ulrich Müller-Funk - 291-304 On critical sets of a finite Moore family
by Jean Diatta - 305-314 Metrics of L p -type and distributional equivalence principle
by Bernard Fichet - 315-340 Tests of ignoring and eliminating in nonsymmetric correspondence analysis
by Yoshio Takane & Sunho Jung
2009, Volume 3, Issue 2
- 93-94 Editorial
by Hans-Hermann Bock & Wolfgang Gaul & Akinori Okada & Maurizio Vichi - 95-108 Comparison of alignment free string distances for complete genome phylogeny
by Frédéric Guyon & Céline Brochier-Armanet & Alain Guénoche - 109-134 Variable selection in model-based clustering using multilocus genotype data
by Wilson Toussile & Elisabeth Gassiat - 135-167 Trimming algorithms for clustering contaminated grouped data and their robustness
by María Gallegos & Gunter Ritter - 169-184 On Robinsonian dissimilarities, the consecutive ones property and latent variable models
by Matthijs Warrens
2009, Volume 3, Issue 1
- 1-2 Editorial
by Hans-Hermann Bock - 3-24 Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy
by Jukka Corander & Mats Gyllenberg & Timo Koski - 25-38 Where are the large and difficult datasets?
by Adrien Jamain & David Hand - 39-61 Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach
by Marc Boullé - 63-92 An update algorithm for restricted random walk clustering for dynamic data sets
by Markus Franke & Andreas Geyer-Schulz
2008, Volume 2, Issue 3
- 207-208 Preface of the ADAC editors
by Hans-Hermann Bock & Wolfgang Gaul & Maurizio Vichi & Akinori Okada - 209-210 Preface for the special issue of ADAC on ‘Optimisation and Non-Convex Programming in Data Mining’
by Hoai Le Thi & Tao Pham Dinh & Gunter Ritter - 211-225 Multi-objective optimization for clustering 3-way gene expression data
by Doulaye Dembélé - 227-239 A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
by Jean-Philippe Tarel & Sio-Song Ieng & Pierre Charbonnier - 241-258 About the non-convex optimization problem induced by non-positive semidefinite kernel learning
by Ingo Mierswa & Katharina Morik - 259-278 A DC programming approach for feature selection in support vector machines learning
by Hoai Le Thi & Hoai Le & Van Nguyen & Tao Pham Dinh - 279-294 Transfer distance between partitions
by Lucile Denœud - 295-311 Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories
by Kouji Tahata & Sadao Tomizawa