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.
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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

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