Model-Based Clustering, Discriminant Analysis, and Density Estimation
Chris Fraley low, Adrian E. Raftery
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Citation edge evidence
- Finite Mixture Models→Model-Based Clustering, Discriminant Analysis, and Density EstimationLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Model-Based Clustering, Discriminant Analysis, and Density EstimationLegacy edge — source detail unavailable
- Hierarchical Dirichlet Processes→Model-Based Clustering, Discriminant Analysis, and Density EstimationLegacy edge — source detail unavailable
- mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture…→Model-Based Clustering, Discriminant Analysis, and Density EstimationLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Model-Based Clustering, Discriminant Analysis, and Density EstimationLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Algorithm AS 136: A K-Means Clustering AlgorithmLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Finding Groups in DataLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Multivariate Density EstimationLegacy 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→Latent Structure Analysis.Legacy 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→Bayes FactorsLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→Bayesian Density Estimation and Inference Using MixturesLegacy 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→Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsLegacy edge — source detail unavailable
- Model-Based Clustering, Discriminant Analysis, and Density Estimation→On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion)Legacy 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
- A Comprehensive Survey of Clustering Algorithms→Finding Groups in DataLegacy edge — source detail unavailable
- A Comprehensive Survey of Clustering Algorithms→Survey of Clustering AlgorithmsLegacy 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→Bayesian Density Estimation and Inference Using MixturesLegacy edge — source detail unavailable
- Finite Mixture Models→Assessing a mixture model for clustering with the integrated completed likelihoodLegacy edge — source detail unavailable
- Finite Mixture Models→mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture…Legacy 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
- 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
- Assessing a mixture model for clustering with the integrated completed likelihood→Bayesian Density Estimation and Inference Using MixturesLegacy edge — source detail unavailable
- Assessing a mixture model for clustering with the integrated completed likelihood→Bayes FactorsLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Finite Mixture ModelsLegacy edge — source detail unavailable
- Hierarchical Dirichlet Processes→Bayesian Density Estimation and Inference Using MixturesLegacy edge — source detail unavailable
- mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture…→Model-Based Gaussian and Non-Gaussian ClusteringLegacy edge — source detail unavailable
- mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture…→Assessing a mixture model for clustering with the integrated completed likelihoodLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Finite Mixture Models | 2000 | 7,427 |
| Survey of Clustering Algorithms | 2005 | 6,210 |
| Hierarchical Dirichlet Processes | 2006 | 3,580 |
| mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture… | 2016 | 3,074 |
| A Comprehensive Survey of Clustering Algorithms | 2015 | 1,939 |
Links
Topics
| Bayesian Methods and Mixture Models | Computer Science |
| Advanced Clustering Algorithms Research | Computer Science |
| Statistical Methods and Inference | Mathematics |
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