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.
- Version2.2.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- HDclassif citation info
- Last release08/23/2023
Documentation
Team
Laurent Berge
Laurent Berge, Charles Bouveyron and Stephane Girard
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- Depends4 packages
- Imports1 package
- Reverse Imports1 package
- Reverse Suggests2 packages