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Advances in Data Analysis and Classification

Ausgabe 1/2019

Special Issue on Advances on Model-Based Clustering and Classification

Inhalt (14 Artikel)

Editorial

Special issue on “Advances on model-based clustering and classification”

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

Regular Article

Unifying data units and models in (co-)clustering

Christophe Biernacki, Alexandre Lourme

Open Access Regular Article

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

Sylvia Frühwirth-Schnatter, Gertraud Malsiner-Walli

Regular Article

Clustering via finite nonparametric ICA mixture models

Xiaotian Zhu, David R. Hunter

Regular Article

Finite mixture of regression models for censored data based on scale mixtures of normal distributions

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

Regular Article

Finite mixture biclustering of discrete type multivariate data

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

Regular Article

Clustering space-time series: FSTAR as a flexible STAR approach

Edoardo Otranto, Massimo Mucciardi

Regular Article

Robust clustering for functional data based on trimming and constraints

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

Open Access Regular Article

Assessing trimming methodologies for clustering linear regression data

Francesca Torti, Domenico Perrotta, Marco Riani, Andrea Cerioli

Regular Article

Variable selection in model-based clustering and discriminant analysis with a regularization approach

Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki

Regular Article

Random effects clustering in multilevel modeling: choosing a proper partition

Claudio Conversano, Massimo Cannas, Francesco Mola, Emiliano Sironi

Regular Article

Studying crime trends in the USA over the years 2000–2012

Volodymyr Melnykov, Xuwen Zhu