An entropy criterion for assessing the number of clusters in a mixture model

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• Testing the number of components in a normal mixture→An entropy criterion for assessing the number of clusters in a mixture modelLegacy edge — source detail unavailable
• Model-Based Clustering, Discriminant Analysis, and Density Estimation→An entropy criterion for assessing the number of clusters in a mixture modelLegacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→An entropy criterion for assessing the number of clusters in a mixture modelLegacy edge — source detail unavailable
• Assessing a mixture model for clustering with the integrated completed likelihood→An entropy criterion for assessing the number of clusters in a mixture modelLegacy edge — source detail unavailable
• An entropy criterion for assessing the number of clusters in a mixture model→Pattern Recognition with Fuzzy Objective Function AlgorithmsLegacy edge — source detail unavailable
• An entropy criterion for assessing the number of clusters in a mixture model→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
• An entropy criterion for assessing the number of clusters in a mixture model→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
• An entropy criterion for assessing the number of clusters in a mixture model→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
• An entropy criterion for assessing the number of clusters in a mixture model→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
• Model-Based Clustering, Discriminant Analysis, and Density Estimation→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
• Model-Based Clustering, Discriminant Analysis, and Density Estimation→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
• Model-Based Clustering, Discriminant Analysis, and Density Estimation→Assessing a mixture model for clustering with the integrated completed likelihoodLegacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→Assessing a mixture model for clustering with the integrated completed likelihoodLegacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
• Unsupervised learning of finite mixture models→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
• Model-Based Gaussian and Non-Gaussian Clustering→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
• Assessing a mixture model for clustering with the integrated completed likelihood→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
• Assessing a mixture model for clustering with the integrated completed likelihood→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable