HDclassif
High Dimensional Supervised Classification and Clustering
Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.2 |
2026-04-09 windows/windows R-4.5 | HDclassif_2.2.2.zip |
236.2 KiB |