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-4.5)HDclassif_2.2.1.zip(r-4.4)HDclassif_2.2.1.zip(r-4.3)
HDclassif_2.2.1.tgz(r-4.4-any)HDclassif_2.2.1.tgz(r-4.3-any)
HDclassif_2.2.1.tar.gz(r-4.5-noble)HDclassif_2.2.1.tar.gz(r-4.4-noble)
HDclassif_2.2.1.tgz(r-4.4-emscripten)HDclassif_2.2.1.tgz(r-4.3-emscripten)
HDclassif.pdf |HDclassif.html
HDclassif/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

4.59 score 1 stars 1 packages 87 scripts 905 downloads 3 mentions 8 exports 7 dependencies

Last updated 1 years agofrom:994b47ae43. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winNOTEOct 25 2024
R-4.5-linuxNOTEOct 25 2024
R-4.4-winNOTEOct 25 2024
R-4.4-macNOTEOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:demo_hddcgetHDclassif.showhddahddchdmdasetHDclassif.showsimuldataslopeHeuristic

Dependencies:latticeMASSMatrixrARPACKRcppRcppEigenRSpectra