Clustering is a common and important issue, and finite mixture models based on the normal distribution are frequently used to address the problem. In this article, we consider a classification model and build a mixture model around it. A good assessment of the allocation of observations and number of clusters is easily obtained from this approach
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
<p>The use of a finite mixture of normal distributions in model-based clustering allows to capture n...
Cluster analysis via a finite mixture model approach is considered. With this approach to clustering...
Cluster analysis seeks to identify homogeneous subgroups of cases in a population. This article prov...
Finite mixture models are being commonly used in a wide range of applications in practice concerning...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
Finite mixture models are being increasingly used to model the distributions of a wide variety of ra...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
A general probabilistic model for describing the structure of statistical problems known under the g...
Two methods for both clustering data and choosing a mixture model are proposed. First, the unknown c...
Two methods for both clustering data and choosing a mixture model are proposed. First, the unknown c...
This note is completely expository, and contains a whirlwind abridged introduction to the topic of m...
Finite mixture models are finite-dimensional generalizations of probabilistic models, which express ...
Traditional statistical clustering procedures based on finite mixtures model require the number of m...
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
<p>The use of a finite mixture of normal distributions in model-based clustering allows to capture n...
Cluster analysis via a finite mixture model approach is considered. With this approach to clustering...
Cluster analysis seeks to identify homogeneous subgroups of cases in a population. This article prov...
Finite mixture models are being commonly used in a wide range of applications in practice concerning...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
Finite mixture models are being increasingly used to model the distributions of a wide variety of ra...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
A general probabilistic model for describing the structure of statistical problems known under the g...
Two methods for both clustering data and choosing a mixture model are proposed. First, the unknown c...
Two methods for both clustering data and choosing a mixture model are proposed. First, the unknown c...
This note is completely expository, and contains a whirlwind abridged introduction to the topic of m...
Finite mixture models are finite-dimensional generalizations of probabilistic models, which express ...
Traditional statistical clustering procedures based on finite mixtures model require the number of m...
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
Mixture model clustering proceeds by fitting a finite mixture of multivariate distributions to data,...
<p>The use of a finite mixture of normal distributions in model-based clustering allows to capture n...
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