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Mixture Models for Clustering and Classification
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | mixture |
Mixture Models for Clustering and Classification |
Statements
30 January 2024
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An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.
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expanded from: GPL (≥ 2) (English)
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Identifiers
10 February 2024
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