Advances in Data Analysis and Classification

2008 - 2018

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 12, issue 3, 2018

Mutual information, phi-squared and model-based co-clustering for contingency tables pp. 455-488

Gérard Govaert and Mohamed Nadif

Model selection for Gaussian latent block clustering with the integrated classification likelihood pp. 489-508

Aurore Lomet, Gérard Govaert and Yves Grandvalet

Discovering patterns in time-varying graphs: a triclustering approach pp. 509-536

Romain Guigourès, Marc Boullé and Fabrice Rossi

Cluster-based sparse topical coding for topic mining and document clustering pp. 537-558

Parvin Ahmadi, Iman Gholampour and Mahmoud Tabandeh

Sparsest factor analysis for clustering variables: a matrix decomposition approach pp. 559-585

Kohei Adachi and Nickolay T. Trendafilov

Minimum distance method for directional data and outlier detection pp. 587-603

Mercedes Fernandez Sau and Daniela Rodriguez

Statistical inference in constrained latent class models for multinomial data based on $$\phi $$ ϕ -divergence measures pp. 605-636

A. Felipe, N. Martín, P. Miranda and L. Pardo

A divisive clustering method for functional data with special consideration of outliers pp. 637-656

Ana Justel and Marcela Svarc

Signal classification with a point process distance on the space of persistence diagrams pp. 657-682

Andrew Marchese and Vasileios Maroulas

Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range pp. 683-704

Juana-María Vivo, Manuel Franco and Donatella Vicari

Archetypal shapes based on landmarks and extension to handle missing data pp. 705-735

Irene Epifanio, María Victoria Ibáñez and Amelia Simó

Tree-structured modelling of categorical predictors in generalized additive regression pp. 737-758

Gerhard Tutz and Moritz Berger

Non-symmetrical composite-based path modeling pp. 759-784

Pasquale Dolce, Vincenzo Esposito Vinzi and Natale Carlo Lauro

Outlier detection in interval data pp. 785-822

A. Pedro Duarte Silva, Peter Filzmoser and Paula Brito

Volume 12, issue 2, 2018

Probabilistic clustering via Pareto solutions and significance tests pp. 179-202

María Teresa Gallegos and Gunter Ritter

Eigenvalues and constraints in mixture modeling: geometric and computational issues pp. 203-233

Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia and Agustín Mayo-Iscar

A data driven equivariant approach to constrained Gaussian mixture modeling pp. 235-260

Roberto Rocci, Stefano Antonio Gattone and Roberto Di Mari

Clustering of imbalanced high-dimensional media data pp. 261-284

Šárka Brodinová, Maia Zaharieva, Peter Filzmoser, Thomas Ortner and Christian Breiteneder

Clusterwise analysis for multiblock component methods pp. 285-313

Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta and Ndèye Niang

Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations pp. 315-339

Kenichi Hayashi

Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier pp. 341-363

Karim Abou-Moustafa and Frank P. Ferrie

Unsupervised classification of children’s bodies using currents pp. 365-397

Sonia Barahona, Ximo Gual-Arnau, Maria Victoria Ibáñez and Amelia Simó

A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction pp. 399-423

Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni and Fernardo A. Quintana

D-trace estimation of a precision matrix using adaptive Lasso penalties pp. 425-447

Vahe Avagyan, Andrés M. Alonso and Francisco J. Nogales

Volume 12, issue 1, 2018

Editorial for Special Issue on Analysis of Asymmetric Relationships pp. 1-4

Giuseppe Bove and Akinori Okada

Methods for the analysis of asymmetric pairwise relationships pp. 5-31

Giuseppe Bove and Akinori Okada

Skew symmetry in retrospect pp. 33-41

John C. Gower

CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information pp. 43-64

Donatella Vicari

Hierarchical clustering of asymmetric networks pp. 65-105

Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro and Santiago Segarra

Transitional modeling of experimental longitudinal data with missing values pp. 107-130

Mark Rooij

Assessing the asymmetric effects on branch rivalry of Spanish financial sector restructuring pp. 131-153

Marti Sagarra, Frank M. T. A. Busing, Cecilio Mar-Molinero and Josep Rialp

Relating brand confusion to ad similarities and brand strengths through image data analysis and classification pp. 155-171

Daniel Baier and Sarah Frost

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