Package: HDclassif 2.2.1

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.

Authors:Laurent Berge, Charles Bouveyron and Stephane Girard

HDclassif_2.2.1.tar.gz
HDclassif_2.2.1.zip(r-4.7)HDclassif_2.2.1.zip(r-4.6)HDclassif_2.2.1.zip(r-4.5)
HDclassif_2.2.1.tgz(r-4.6-any)HDclassif_2.2.1.tgz(r-4.5-any)
HDclassif_2.2.1.tar.gz(r-4.7-any)HDclassif_2.2.1.tar.gz(r-4.6-any)
HDclassif_2.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
HDclassif/json (API)

# Install 'HDclassif' in R:
install.packages('HDclassif', repos = c('https://lrberge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lrberge/hdclassif/issues

Datasets:
  • Crabs - Morphological Measurements on Leptograpsus Crabs.
  • wine - Wine dataset

On CRAN:

Conda:

4.74 score 1 stars 1 packages 122 scripts 807 downloads 3 mentions 8 exports 7 dependencies

Last updated from:994b47ae43. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE124
source / vignettesOK159
linux-release-x86_64NOTE125
macos-release-arm64NOTE81
macos-oldrel-arm64NOTE129
windows-develNOTE99
windows-releaseNOTE93
windows-oldrelNOTE101
wasm-releaseOK93

Exports:demo_hddcgetHDclassif.showhddahddchdmdasetHDclassif.showsimuldataslopeHeuristic

Dependencies:latticeMASSMatrixrARPACKRcppRcppEigenRSpectra