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-any)HDclassif_2.2.1.zip(r-4.6-any)HDclassif_2.2.1.zip(r-4.5-any)
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:

4.71 score 1 stars 1 packages 114 scripts 611 downloads 3 mentions 8 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE124
source / vignettesOK139
linux-releaseNOTE121
macos-releaseNOTE169
macos-oldrelNOTE190
windows-develNOTE91
windows-releaseNOTE92
windows-oldrelNOTE147
wasm-releaseOK82

Exports:demo_hddcgetHDclassif.showhddahddchdmdasetHDclassif.showsimuldataslopeHeuristic

Dependencies:latticeMASSMatrixrARPACKRcppRcppEigenRSpectra