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 13, issue 4, 2019

Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions pp. 825-853

Hiroyasu Abe and Hiroshi Yadohisa

Discriminant analysis for discrete variables derived from a tree-structured graphical model pp. 855-876

Gonzalo Perez- de-la-Cruz and Guillermina Eslava-Gomez

Supervised learning via smoothed Polya trees pp. 877-904

William Cipolli and Timothy Hanson

Robust and sparse k-means clustering for high-dimensional data pp. 905-932

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

Exploration of the variability of variable selection based on distances between bootstrap sample results pp. 933-963

Christian Hennig and Willi Sauerbrei

A classification tree approach for the modeling of competing risks in discrete time pp. 965-990

Moritz Berger, Thomas Welchowski, Steffen Schmitz-Valckenberg and Matthias Schmid

Convex clustering for binary data pp. 991-1018

Hosik Choi and Seokho Lee

Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership pp. 1019-1051

Gregor Zens

Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering pp. 1053-1082

Derek S. Young, Xi Chen, Dilrukshi C. Hewage and Ricardo Nilo-Poyanco

A Kendall correlation coefficient between functional data pp. 1083-1103

Dalia Valencia, Rosa E. Lillo and Juan Romo

Volume 13, issue 3, 2019

Directional co-clustering pp. 591-620

Aghiles Salah and Mohamed Nadif

Investigating consumers’ store-choice behavior via hierarchical variable selection pp. 621-639

Toshiki Sato, Yuichi Takano and Takanobu Nakahara

Subspace clustering for the finite mixture of generalized hyperbolic distributions pp. 641-661

Nam-Hwui Kim and Ryan Browne

On support vector machines under a multiple-cost scenario pp. 663-682

Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa and Pepa Ramírez-Cobo

Regression trees for detecting preference patterns from rank data pp. 683-702

Yu-Shan Shih and Kuang-Hsun Liu

Generalised linear model trees with global additive effects pp. 703-725

Heidi Seibold, Torsten Hothorn and Achim Zeileis

Greedy Gaussian segmentation of multivariate time series pp. 727-751

David Hallac, Peter Nystrup and Stephen Boyd

A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification pp. 753-771

Zakariya Yahya Algamal and Muhammad Hisyam Lee

Variable selection in discriminant analysis for mixed continuous-binary variables and several groups pp. 773-795

Alban Mbina Mbina, Guy Martial Nkiet and Fulgence Eyi Obiang

Bayesian nonstationary Gaussian process models via treed process convolutions pp. 797-818

Waley W. J. Liang and Herbert K. H. Lee

Volume 13, issue 2, 2019

Linear components of quadratic classifiers pp. 347-377

José R. Berrendero and Javier Cárcamo

Mixture model modal clustering pp. 379-404

José E. Chacón

A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces pp. 405-426

Dawit G. Tadesse and Mark Carpenter

Weighted distance-based trees for ranking data pp. 427-444

Antonella Plaia and Mariangela Sciandra

Mixtures of restricted skew-t factor analyzers with common factor loadings pp. 445-480

Wan-Lun Wang, Luis M. Castro, Yen-Ting Chang and Tsung-I Lin

Properties of Bangdiwala’s B pp. 481-493

Matthijs J. Warrens and Alexandra Raadt

Comparisons among several methods for handling missing data in principal component analysis (PCA) pp. 495-518

Sébastien Loisel and Yoshio Takane

A bivariate index vector for measuring departure from double symmetry in square contingency tables pp. 519-529

Shuji Ando, Kouji Tahata and Sadao Tomizawa

New distance measures for classifying X-ray astronomy data into stellar classes pp. 531-557

Amparo Baíllo, Javier Cárcamo and Konstantin Getman

Model-based approach for household clustering with mixed scale variables pp. 559-583

Christian Carmona, Luis Nieto-Barajas and Antonio Canale

Volume 13, issue 1, 2019

Special issue on “Advances on model-based clustering and classification” pp. 1-5

Sylvia Frühwirth-Schnatter, Salvatore Ingrassia and Agustín Mayo-Iscar

Unifying data units and models in (co-)clustering pp. 7-31

Christophe Biernacki and Alexandre Lourme

From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering pp. 33-64

Sylvia Frühwirth-Schnatter and Gertraud Malsiner-Walli

Clustering via finite nonparametric ICA mixture models pp. 65-87

Xiaotian Zhu and David R. Hunter

Finite mixture of regression models for censored data based on scale mixtures of normal distributions pp. 89-116

Camila Borelli Zeller, Celso Rômulo Barbosa Cabral, Víctor Hugo Lachos and Luis Benites

Finite mixture biclustering of discrete type multivariate data pp. 117-143

Daniel Fernández, Richard Arnold, Shirley Pledger, Ivy Liu and Roy Costilla

Finite mixtures, projection pursuit and tensor rank: a triangulation pp. 145-173

Nicola Loperfido

Clustering space-time series: FSTAR as a flexible STAR approach pp. 175-199

Edoardo Otranto and Massimo Mucciardi

Robust clustering for functional data based on trimming and constraints pp. 201-225

Diego Rivera-García, Luis A. García-Escudero, Agustín Mayo-Iscar and Joaquín Ortega

Assessing trimming methodologies for clustering linear regression data pp. 227-257

Francesca Torti, Domenico Perrotta, Marco Riani and Andrea Cerioli

Variable selection in model-based clustering and discriminant analysis with a regularization approach pp. 259-278

Gilles Celeux, Cathy Maugis-Rabusseau and Mohammed Sedki

Random effects clustering in multilevel modeling: choosing a proper partition pp. 279-301

Claudio Conversano, Massimo Cannas, Francesco Mola and Emiliano Sironi

sARI: a soft agreement measure for class partitions incorporating assignment probabilities pp. 303-323

Abby Flynt, Nema Dean and Rebecca Nugent

Studying crime trends in the USA over the years 2000–2012 pp. 325-341

Volodymyr Melnykov and Xuwen Zhu

Volume 12, issue 4, 2018

Special issue on “Science of big data: theory, methods and applications” pp. 823-825

Hans A. Kestler, Paul D. McNicholas and Adalbert F. X. Wilhelm

Ensemble of a subset of kNN classifiers pp. 827-840

Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Miftahuddin Miftahuddin, Werner Adler and Berthold Lausen

Understanding non-linear modeling of measurement invariance in heterogeneous populations pp. 841-865

Deana Desa

A comparative study on large scale kernelized support vector machines pp. 867-883

Daniel Horn, Aydın Demircioğlu, Bernd Bischl, Tobias Glasmachers and Claus Weihs

A computationally fast variable importance test for random forests for high-dimensional data pp. 885-915

Silke Janitza, Ender Celik and Anne-Laure Boulesteix

Rank-based classifiers for extremely high-dimensional gene expression data pp. 917-936

Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm and Hans A. Kestler

Ensemble feature selection for high dimensional data: a new method and a comparative study pp. 937-952

Afef Ben Brahim and Mohamed Limam

An efficient random forests algorithm for high dimensional data classification pp. 953-972

Qiang Wang, Thanh-Tung Nguyen, Joshua Z. Huang and Thuy Thi Nguyen

Equi-Clustream: a framework for clustering time evolving mixed data pp. 973-995

Ravi Sankar Sangam and Hari Om

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-Maria 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

Pedro 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