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-4.7-any)FisherEM_1.6.tar.gz(r-4.6-any)
FisherEM_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:4ff2e8e609. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | OK | 144 | ||
| wasm-release | OK | 103 |
Exports:bfemfemfem.ariplot_boundplot_critplot_subspaceplot.bfemplot.femprint.femsfemsimu_bfem
Dependencies:clicpp11elasticnetellipsefarverggplot2gluegtableisobandlabelinglarslifecycleMASSplyrR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr
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 |