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
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HDclassif_2.2.1.tgz(r-4.4-any)HDclassif_2.2.1.tgz(r-4.3-any)
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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:

8 exports 1 stars 1.73 score 7 dependencies 1 dependents 3 mentions 72 scripts 586 downloads

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

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winNOTEAug 26 2024
R-4.5-linuxNOTEAug 26 2024
R-4.4-winNOTEAug 26 2024
R-4.4-macNOTEAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:demo_hddcgetHDclassif.showhddahddchdmdasetHDclassif.showsimuldataslopeHeuristic

Dependencies:latticeMASSMatrixrARPACKRcppRcppEigenRSpectra