MixAll
Clustering and Classification using Model-Based Mixture Models
Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values.
- Version1.5.16
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Reference manual
- Last release05/15/2024
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Team
Serge Iovleff
Parmeet Bathia
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- Depends1 package
- Linking To2 packages