Advances in Data Analysis and Classification

Editorial for issue 2/2019

Linear components of quadratic classifiers

José R. Berrendero, Javier Cárcamo

Mixture model modal clustering

José E. Chacón

A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces

Dawit G. Tadesse, Mark Carpenter

Weighted distance-based trees for ranking data

Antonella Plaia, Mariangela Sciandra

Mixtures of restricted skew-t factor analyzers with common factor loadings

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

Properties of Bangdiwala’s B

Matthijs J. Warrens, Alexandra de Raadt

Comparisons among several methods for handling missing data in principal component analysis (PCA)

Sébastien Loisel, Yoshio Takane

A bivariate index vector for measuring departure from double symmetry in square contingency tables

Shuji Ando, Kouji Tahata, Sadao Tomizawa

New distance measures for classifying X-ray astronomy data into stellar classes

Amparo Baíllo, Javier Cárcamo, Konstantin Getman

Model-based approach for household clustering with mixed scale variables

Christian Carmona, Luis Nieto-Barajas, Antonio Canale