Package: sparcl 1.0.4
Daniela Witten
sparcl: Perform Sparse Hierarchical Clustering and Sparse K-Means Clustering
Implements the sparse clustering methods of Witten and Tibshirani (2010): "A framework for feature selection in clustering"; published in Journal of the American Statistical Association 105(490): 713-726.
Authors:
sparcl_1.0.4.tar.gz
sparcl_1.0.4.zip(r-4.7-x86_64)sparcl_1.0.4.zip(r-4.7-arm64)sparcl_1.0.4.zip(r-4.6-x86_64)sparcl_1.0.4.zip(r-4.6-arm64)
sparcl_1.0.4.tar.gz(r-4.7-arm64)sparcl_1.0.4.tar.gz(r-4.7-x86_64)sparcl_1.0.4.tar.gz(r-4.6-arm64)sparcl_1.0.4.tar.gz(r-4.6-x86_64)
sparcl_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sparcl/json (API)
| # Install 'sparcl' in R: |
| install.packages('sparcl', 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:a6b8a9418e. Checks:9 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 78 | ||
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 256 | ||
| linux-release-arm64 | OK | 89 | ||
| linux-release-x86_64 | OK | 103 | ||
| windows-devel-arm64 | OK | 192 | ||
| windows-devel-x86_64 | OK | 104 | ||
| windows-release-arm64 | WARNING | 199 | ||
| windows-release-x86_64 | OK | 83 | ||
| wasm-release | OK | 99 |
Exports:ColorDendrogramHierarchicalSparseClusterHierarchicalSparseCluster.permuteHierarchicalSparseCluster.wrapperKMeansSparseClusterKMeansSparseCluster.permuteplot.HierarchicalSparseClusterplot.HierarchicalSparseCluster.permuteplot.KMeansSparseClusterplot.KMeansSparseCluster.permuteprint.HierarchicalSparseClusterprint.HierarchicalSparseCluster.permuteprint.KMeansSparseClusterprint.KMeansSparseCluster.permute
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Performs sparse hierarchical and sparse K-means clustering | sparcl-package sparcl |
| Color the leaves in a hierarchical clustering dendrogram | ColorDendrogram |
| Hierarchical sparse clustering | HierarchicalSparseCluster plot.HierarchicalSparseCluster print.HierarchicalSparseCluster |
| Choose tuning parameter for sparse hierarchical clustering | HierarchicalSparseCluster.permute plot.HierarchicalSparseCluster.permute print.HierarchicalSparseCluster.permute |
| A wrapper for the hierarchical sparse clustering algorithm | HierarchicalSparseCluster.wrapper |
| Performs sparse k-means clustering | KMeansSparseCluster plot.KMeansSparseCluster print.KMeansSparseCluster |
| Choose tuning parameter for sparse k-means clustering | KMeansSparseCluster.permute plot.KMeansSparseCluster.permute print.KMeansSparseCluster.permute |