Advances in Data Analysis and Classification

2008 - 2025

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 11, issue 4, 2017

Fuzzy data analysis and classification pp. 645-657

Pierpaolo D’Urso and María Ángeles Gil

Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression pp. 659-690

Benjamin Quost, Thierry Denœux and Shoumei Li

A fuzzy approach to robust regression clustering pp. 691-710

Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero and Agustín Mayo-Iscar

Fuzzy rule based classification systems for big data with MapReduce: granularity analysis pp. 711-730

Alberto Fernández, Sara Río, Abdullah Bawakid and Francisco Herrera

Robust scale estimators for fuzzy data pp. 731-758

Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova and Peter Filzmoser

A novel method for forecasting time series based on fuzzy logic and visibility graph pp. 759-783

Rong Zhang, Baabak Ashuri and Yong Deng

On ill-conceived initialization in archetypal analysis pp. 785-808

Abdul Suleman

Volume 11, issue 3, 2017

Multivariate and functional classification using depth and distance pp. 445-466

Mia Hubert, Peter Rousseeuw and Pieter Segaert

Benchmarking different clustering algorithms on functional data pp. 467-492

Christina Yassouridis and Friedrich Leisch

Constrained clustering with a complex cluster structure pp. 493-518

Marek Śmieja and Magdalena Wiercioch

A fuzzy neural network based framework to discover user access patterns from web log data pp. 519-546

Zahid A. Ansari, Syed Abdul Sattar and A. Vinaya Babu

Dense traffic flow patterns mining in bi-directional road networks using density based trajectory clustering pp. 547-561

Vaishali Mirge, Kesari Verma and Shubhrata Gupta

Disjoint factor analysis with cross-loadings pp. 563-591

Maurizio Vichi

General location model with factor analyzer covariance matrix structure and its applications pp. 593-609

Leila Amiri, Mojtaba Khazaei and Mojtaba Ganjali

Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search pp. 611-627

E. Emary, Hossam M. Zawbaa, Aboul Ella Hassanien and B. Parv

A new approach for determining the prior probabilities in the classification problem by Bayesian method pp. 629-643

Thao Nguyen-Trang and Tai Vo- Van

Volume 11, issue 2, 2017

Exploratory data analysis for interval compositional data pp. 223-241

Karel Hron, Paula Brito and Peter Filzmoser

Model-based regression clustering for high-dimensional data: application to functional data pp. 243-279

Emilie Devijver

Mixture models for ordinal responses to account for uncertainty of choice pp. 281-305

Gerhard Tutz, Micha Schneider, Maria Iannario and Domenico Piccolo

Logistic biplot for nominal data pp. 307-326

Julio César Hernández-Sánchez and José Luis Vicente-Villardón

Principal component analysis for histogram-valued data pp. 327-351

J. Le-Rademacher and L. Billard

T3C: improving a decision tree classification algorithm’s interval splits on continuous attributes pp. 353-370

Panagiotis Tzirakis and Christos Tjortjis

ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions pp. 371-393

Stephen L. France, Wen Chen and Yumin Deng

A sequential distance-based approach for imputing missing data: Forward Imputation pp. 395-414

Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi and Pier Alda Ferrari

Backtransformation: a new representation of data processing chains with a scalar decision function pp. 415-439

Mario Michael Krell and Sirko Straube

Volume 10, issue 4, 2016

Second special issue on “Advances in latent variables: methods, models and applications” pp. 417-421

Angela Montanari and Maurizio Vichi

A mixture of generalized hyperbolic factor analyzers pp. 423-440

Cristina Tortora, Paul D. McNicholas and Ryan P. Browne

Factor probabilistic distance clustering (FPDC): a new clustering method pp. 441-464

Cristina Tortora, Mireille Gettler Summa, Marina Marino and Francesco Palumbo

Human capital estimation in higher education pp. 465-489

Pietro Giorgio Lovaglio, Gianmarco Vacca and Stefano Verzillo

Quantile composite-based path modeling pp. 491-520

Cristina Davino and Vincenzo Esposito Vinzi

Exponential family mixed membership models for soft clustering of multivariate data pp. 521-540

Arthur White and Thomas Brendan Murphy

The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture pp. 541-562

Reyhaneh Rikhtehgaran and Iraj Kazemi

An effective strategy for initializing the EM algorithm in finite mixture models pp. 563-583

Semhar Michael and Volodymyr Melnykov

Volume 10, issue 2, 2016

Special issue on Advances in latent variables: methods, models and applications pp. 133-137

Angela Montanari and Maurizio Vichi

Micro–macro multilevel latent class models with multiple discrete individual-level variables pp. 139-154

Margot Bennink, Marcel A. Croon, Brigitte Kroon and Jeroen K. Vermunt

Model based clustering for mixed data: clustMD pp. 155-169

Damien McParland and Isobel Claire Gormley

Latent class model with conditional dependency per modes to cluster categorical data pp. 183-207

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

Fetene B. Tekle, Dereje W. Gudicha and Jeroen K. Vermunt

Varying uncertainty in CUB models pp. 225-244

Anna Gottard, Maria Iannario and Domenico Piccolo

Item selection by latent class-based methods: an application to nursing home evaluation pp. 245-262

Francesco Bartolucci, Giorgio E. Montanari and Silvia Pandolfi

Dynamic segmentation with growth mixture models pp. 263-279

Francesca Bassi

Volume 9, issue 4, 2015

Maximum likelihood estimation of Gaussian mixture models without matrix operations pp. 371-394

Hien Nguyen and Geoffrey McLachlan

Probabilistic assessment of model-based clustering pp. 395-422

Xuwen Zhu and Volodymyr Melnykov

Robust model-based clustering via mixtures of skew-t distributions with missing information pp. 423-445

Wan-Lun Wang and Tsung-I Lin

Improved initialisation of model-based clustering using Gaussian hierarchical partitions pp. 447-460

Luca Scrucca and Adrian Raftery

Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library pp. 461-481

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

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

Naoto Yamashita and Shin-ichi Mayekawa

Probabilistic auto-associative models and semi-linear PCA pp. 267-286

Serge Iovleff

Classifying real-world data with the $${ DD}\alpha $$ D D α -procedure pp. 287-314

Pavlo Mozharovskyi, Karl Mosler and Tatjana Lange

Financial clustering in presence of dominant markets pp. 315-339

Edoardo Otranto and Romana Gargano

A diffusion model for churn prediction based on sociometric theory pp. 341-365

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

Antonio Irpino and Rosanna Verde

Enhancing the selection of a model-based clustering with external categorical variables pp. 177-196

Jean-Patrick Baudry, Margarida Cardoso, Gilles Celeux, Maria Amorim and Ana Ferreira

Mixture model averaging for clustering pp. 197-217

Yuhong Wei and Paul McNicholas

Spline-based nonlinear biplots pp. 219-238

Patrick Groenen, Niël Roux and Sugnet Gardner-Lubbe

Volume 9, issue 1, 2015

Lasso-constrained regression analysis for interval-valued data pp. 5-19

Paolo Giordani

Trimmed fuzzy clustering for interval-valued data pp. 21-40

Pierpaolo D’Urso, Livia Giovanni and Riccardo Massari

Modeling and forecasting interval time series with threshold models pp. 41-57

Paulo Rodrigues and Nazarii Salish

Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm pp. 59-79

Meiling Chen, Huiwen Wang and Zhongfeng Qin

Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance pp. 81-106

Antonio Irpino and Rosanna Verde

Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma pp. 107-119

Christiane Guinot, Denis Malvy, Jean-François Schémann, Filipe Afonso, Raja Haddad and Edwin Diday