Editorial Issue 2/2014

The second issue of volume 8 (2014) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: a comparison of various information criteria used to select the number of latent states of a multivariate latent Markov model; a new methodology for visualizing, on a dimension reduced subspace, the classification structure and the geometric characteristics of an estimated Gaussian mixture model in discriminant analysis; parameter estimation for model-based clustering in the case of a finite mixture of normal inverse Gaussian (NIG) distributions; a discrimination approach for separating, in gamma-ray astronomy, the gamma-ray signal from a hadronic background; finally, a new simple majorization–minimization (MM) algorithm to solve certain types of optimization problems in multivariate analysis, e.g., a common principal components model for G groups proposed by Flury. The proposed methods are illustrated by real-case or simulated examples.