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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:4ff2e8e609. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 17 2024 |
R-4.5-linux | OK | Oct 17 2024 |
Exports:bfemfemfem.ariplot_boundplot_critplot_subspaceplot.bfemplot.femprint.femsfemsimu_bfem
Dependencies:clicolorspaceelasticnetellipsefansifarverggplot2gluegtableisobandlabelinglarslatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data | FisherEM-package FisherEM |
The Bayesian Fisher-EM algorithm. | bfem |
The Fisher-EM algorithm | fem |
Adjusted Rand index | fem.ari |
Plotting function | plot.bfem plot_bound plot_crit plot_subspace |
The plot function for 'fem' objects. | plot.fem |
The print function for 'fem' objects. | print.fem |
The sparse Fisher-EM algorithm | sfem |
Experimental setting of the chapter BFEM | simu_bfem |