RMixtComp (Q128443)
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Mixture Models with Heterogeneous and (Partially) Missing Data
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | RMixtComp |
Mixture Models with Heterogeneous and (Partially) Missing Data |
Statements
18 June 2023
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Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.
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