FisherEM: Model-Based Clustering in the Fisher Discriminative Subspace
Model-Based Clustering in the Fisher Discriminative
Subspace provides a low-dimensional discriminative
representation of the clustered data. To find a parsimonious
and discriminative fit for the data this method uses
discriminative latent model (DLM). The Fisher EM algorithm
estimates the parameters of DLM models in order to cluster and
visualize the clustered data.
| Version: |
1.1.2 |
| Depends: |
MASS, e1071 |
| Published: |
2011-05-29 |
| Author: |
J.Loisel T.Souvannarath M.Tchebanenko C.Bouveyron C.Brunet |
| Maintainer: |
Who to complain to <thanh.souvannarath at gmail.com> |
| License: |
GPL-2 |
| CRAN checks: |
FisherEM results |
Downloads: