With the rapid development of spaceborne synthetic aperture radar (SAR) technology and
the acquisition of a large volume of SAR images, SAR image interpretation has become an …

The issue of determining 'the right number of clusters' is attracting ever growing interest. The
paper reviews published work on the issue with respect to mixture of distributions, partition …

In this paper, we propose novel strategies for neutral vector variable decorrelation. Two
fundamental invertible transformations, namely, serial nonlinear transformation and parallel …

This paper presents an unsupervised approach for feature selection and extraction in
mixtures of generalized Dirichlet (GD) distributions. Our method defines a new mixture …

Nowadays, a great number of positive data has been occurred naturally in many
applications, however, it was not adequately analyzed. In this article, we propose a novel …

In this paper, we consider the problem of constructing accurate and flexible statistical
representations for count data, which we often confront in many areas such as data mining …

Clustering is a fundamental problem that frequently arises in many fields, such as pattern
recognition, data mining, and machine learning. Although various clustering algorithms have …

In this paper, we examine the problem of count data clustering. We analyze this problem
using finite mixtures of distributions. The multinomial distribution and the multinomial …

The work proposed in this paper is motivated by the need to develop powerful models and
approaches to classify and learn proportional data. Indeed, an abundance of interesting …

We propose in this paper to recognize human activities through an unsupervised learning of
finite multivariate generalized Gaussian mixture model. We address an important cue in …