Package: FisherEM 1.6

Charles Bouveyron

FisherEM: The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data

The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s11222-011-9249-9>, is an efficient method for the clustering of high-dimensional data. FisherEM models and clusters the data in a discriminative and low-dimensional latent subspace. It also provides a low-dimensional representation of the clustered data. A sparse version of Fisher-EM algorithm is also provided.

Authors:Charles Bouveyron, Camille Brunet & Nicolas Jouvin.

FisherEM_1.6.tar.gz
FisherEM_1.6.tar.gz(r-4.5-noble)FisherEM_1.6.tar.gz(r-4.4-noble)
FisherEM_1.6.tgz(r-4.4-emscripten)FisherEM_1.6.tgz(r-4.3-emscripten)
FisherEM.pdf |FisherEM.html
FisherEM/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 249 downloads 11 exports 33 dependencies

Last updated 4 years agofrom:4ff2e8e609. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:bfemfemfem.ariplot_boundplot_critplot_subspaceplot.bfemplot.femprint.femsfemsimu_bfem

Dependencies:clicolorspaceelasticnetellipsefansifarverggplot2gluegtableisobandlabelinglarslatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr