Mixture models : inference and applications to clustering
Geoffrey J. McLachlan, K. E. Basford
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- Data clustering: 50 years beyond K-means→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Adaptive Mixtures of Local Experts→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- A Survey of Clustering Data Mining Techniques→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Clustering of the self-organizing map→Mixture models : inference and applications to 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
- Model-Based Gaussian and Non-Gaussian Clustering→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Latent Class Cluster Analysis→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- A review of novelty detection→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Comparing clusterings—an information based distance→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
- A Survey of Clustering Data Mining Techniques→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Unsupervised learning of finite mixture modelsLegacy 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
- 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→An entropy criterion for assessing the number of clusters in a mixture modelLegacy 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
- An entropy criterion for assessing the number of clusters in a mixture model→Model-Based Gaussian and Non-Gaussian ClusteringLegacy 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
- Assessing a mixture model for clustering with the integrated completed likelihood→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Data clustering: 50 years beyond K-meansLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Unsupervised learning of finite mixture modelsLegacy edge — source detail unavailable
- Latent Class Cluster Analysis→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
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| Bayesian Methods and Mixture Models | Computer Science |
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