HDclassif v2.1.0
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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.
Functions in HDclassif
| Name | Description | |
| HDclassif-package | High Dimensional Discriminant Analysis and Data Clustering | |
| demo_hddc | Demonstration of the clustering process of HDDC. | |
| hdda | High Dimensional Discriminant Analysis | |
| slopeHeuristic | Slope Heuristic for HDDC objects | |
| predict.hdmda | Prediction method for ‘hdmda’ class objects. | |
| simuldata | Gaussian Data Generation | |
| hdmda | Mixture Discriminant Analysis with HD Gaussians | |
| Crabs | Morphological Measurements on Leptograpsus Crabs. | |
| plot.hdc | Cattell's Scree-Test for 'hdc' class objects. | |
| hddc | High Dimensional Data Clustering | |
| wine | Wine dataset | |
| predict.hdc | Prediction method for ‘hdc’ class objects. | |
| No Results! | ||
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Details
| Encoding | UTF-8 |
| Type | Package |
| Date | 2018-05-11 |
| License | GPL-2 |
| LazyLoad | yes |
| ZipData | no |
| RoxygenNote | 6.0.1 |
| NeedsCompilation | no |
| Packaged | 2018-05-11 12:19:08 UTC; laurent.berge |
| Repository | CRAN |
| Date/Publication | 2018-05-11 16:34:03 UTC |
| depends | graphics , grDevices , MASS , stats , utils |
| imports | rARPACK |
| Contributors | Charles Bouveyron, Stephane Girard, Laurent Berge |
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