Add to ORKGA general probabilistic model for describing the structure of statistical problems known under the generic name of cluster analysis, based on finite mixtures of distributions, is proposed. We analyse the theoretical and practical implications of this approach, and point out some open question on both the theoretical problem of determining the reference prior for models based on mixtures, and the practical problem of approximation that mixtures typically entail. Finally, models based on mixtures of normal distributions are analised with some detail
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
Finite mixtures of distributions have provided a mathematical-based approach to the statistical mode...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite m...
Cluster analysis via a finite mixture model approach is considered. With this approach to clustering...
<p>The use of a finite mixture of normal distributions in model-based clustering allows to capture n...
Cluster analysis seeks to identify homogeneous subgroups of cases in a population. This article prov...
Clustering is a common and important issue, and finite mixture models based on the normal distributi...
Model-based cluster analysis is a common clustering method. Unlike the classical clustering methods,...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
The use of a finite mixture of normal distributions in model-based clustering allows to capture non...
Statistical analysis of data sets of high-dimensionality has met great interest over the past years,...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
Finite mixtures of distributions have provided a mathematical-based approach to the statistical mode...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite m...
Cluster analysis via a finite mixture model approach is considered. With this approach to clustering...
<p>The use of a finite mixture of normal distributions in model-based clustering allows to capture n...
Cluster analysis seeks to identify homogeneous subgroups of cases in a population. This article prov...
Clustering is a common and important issue, and finite mixture models based on the normal distributi...
Model-based cluster analysis is a common clustering method. Unlike the classical clustering methods,...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
The use of a finite mixture of normal distributions in model-based clustering allows to capture non...
Statistical analysis of data sets of high-dimensionality has met great interest over the past years,...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...
Finite mixtures of distributions have provided a mathematical-based approach to the statistical mode...
We propose a new model for cluster analysis in a Bayesian nonparametric framework. Our model combine...