Advances in Data Analysis and Classification

Editorial for issue 3/2018

Mutual information, phi-squared and model-based co-clustering for contingency tables

Gérard Govaert, Mohamed Nadif

Model selection for Gaussian latent block clustering with the integrated classification likelihood

Aurore Lomet, Gérard Govaert, Yves Grandvalet

Discovering patterns in time-varying graphs: a triclustering approach

Romain Guigourès, Marc Boullé, Fabrice Rossi

Cluster-based sparse topical coding for topic mining and document clustering

Parvin Ahmadi, Iman Gholampour, Mahmoud Tabandeh

Sparsest factor analysis for clustering variables: a matrix decomposition approach

Kohei Adachi, Nickolay T. Trendafilov

Minimum distance method for directional data and outlier detection

Mercedes Fernandez Sau, Daniela Rodriguez

Statistical inference in constrained latent class models for multinomial data based on -divergence measures

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

A divisive clustering method for functional data with special consideration of outliers

Ana Justel, Marcela Svarc

Signal classification with a point process distance on the space of persistence diagrams

Andrew Marchese, Vasileios Maroulas

Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range

Juana-María Vivo, Manuel Franco, Donatella Vicari

Archetypal shapes based on landmarks and extension to handle missing data

Irene Epifanio, María Victoria Ibáñez, Amelia Simó

Tree-structured modelling of categorical predictors in generalized additive regression

Gerhard Tutz, Moritz Berger

Non-symmetrical composite-based path modeling

Pasquale Dolce, Vincenzo Esposito Vinzi, Natale Carlo Lauro

Outlier detection in interval data

A. Pedro Duarte Silva, Peter Filzmoser, Paula Brito