Advances in Data Analysis and Classification

2008 - 2020

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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2020, volume 14, issue 1

Count regression trees pp. 5-27

Nan-Ting Liu, Feng-Chang Lin and Yu-Shan Shih

Learning a metric when clustering data points in the presence of constraints pp. 29-56

Ahmad Ali Abin, Mohammad Ali Bashiri and Hamid Beigy

Clustering genomic words in human DNA using peaks and trends of distributions pp. 57-76

Ana Helena Tavares, Jakob Raymaekers, Peter Rousseeuw, Paula Brito and Vera Afreixo

Data clustering based on principal curves pp. 77-96

Elson Claudio Correa Moraes, Danton Diego Ferreira, Giovani Bernardes Vitor and Bruno Henrique Groenner Barbosa

Ensemble of optimal trees, random forest and random projection ensemble classification pp. 97-116

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

A fragmented-periodogram approach for clustering big data time series pp. 117-146

Jorge Caiado, Nuno Crato and Pilar Poncela

How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models pp. 147-173

Johannes Blömer, Sascha Brauer, Kathrin Bujna and Daniel Kuntze

Optimal arrangements of hyperplanes for SVM-based multiclass classification pp. 175-199

Víctor Blanco, Alberto Japón and Justo Puerto

Classification using sequential order statistics pp. 201-230

Alexander Katzur and Udo Kamps

2019, volume 13, issue 4

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

2019, volume 13, issue 3

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

2019, volume 13, issue 2

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

2019, volume 13, issue 1

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