Unsupervised learning of finite mixture models
Mário A. T. Figueiredo, Anil K. Jain
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- Data clustering: 50 years beyond K-means→Unsupervised learning of finite mixture modelsLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Unsupervised learning of finite mixture modelsLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Unsupervised learning of finite mixture modelsLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Elements of Information TheoryLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Finite Mixture ModelsLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Algorithms for clustering dataLegacy 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→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→A View of the Em Algorithm that Justifies Incremental, Sparse, and other VariantsLegacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Bayesian TheoryLegacy 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→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)Legacy edge — source detail unavailable
- Unsupervised learning of finite mixture models→Mixtures of Probabilistic Principal Component AnalyzersLegacy 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
- Finite Mixture Models→On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)Legacy edge — source detail unavailable
- Finite Mixture Models→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- Finite Mixture Models→Assessing a mixture model for clustering with the integrated completed likelihoodLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Mixture models : inference and applications to clusteringLegacy edge — source detail unavailable
- Data clustering: 50 years beyond K-means→Algorithms for clustering dataLegacy 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→Model-Based Gaussian and Non-Gaussian 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
- 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 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→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
- Mixtures of Probabilistic Principal Component Analyzers→Statistical Analysis of Finite Mixture Distributions.Legacy edge — source detail unavailable
- Survey of Clustering Algorithms→Finite Mixture ModelsLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Algorithms for clustering dataLegacy edge — source detail unavailable
- Unsupervised K-Means Clustering Algorithm→Mixture models : inference and applications to 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→Algorithms for clustering dataLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Data clustering: 50 years beyond K-means | 2009 | 9,368 |
| Survey of Clustering Algorithms | 2005 | 6,210 |
| Unsupervised K-Means Clustering Algorithm | 2020 | 2,240 |
Links
Topics
| Bayesian Methods and Mixture Models | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Target Tracking and Data Fusion in Sensor Networks | Computer Science |
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