MatTransMix v0.1.6
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Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations.
Functions in MatTransMix
| Name | Description | |
| print.object | Functions for Printing or Summarizing Objects | |
| crime | Crime data | |
| MatTrans.init | Initialization for the EM algorithm for matrix clustering | |
| MatTransMix-package | Finite mixture modeling and model-based clustering of matrices based on matrix Gaussian mixture and matrix transformation mixture models. | |
| IMDb | IMDb data | |
| MatTrans.EM | EM algorithm for matrix clustering | |
| No Results! | ||
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Details
| Date | 2019-11-08 |
| LazyLoad | yes |
| LazyData | no |
| License | GPL (>= 2) |
| Packaged | 2019-11-08 15:36:01 UTC; root |
| NeedsCompilation | yes |
| Repository | CRAN |
| Date/Publication | 2019-11-08 16:40:02 UTC |
| depends | R (>= 3.0.0) |
| Contributors | Michael Hutt, Stephen Moshier, Rouben Rostamian, Dianne Cook, Volodymyr Melnykov, Shuchismita Sarkar, Carl Edward Rasmussen |
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[](http://www.rdocumentation.org/packages/MatTransMix)