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.tar.gz(r-4.5-noble)sparcl_1.0.4.tar.gz(r-4.4-noble)
sparcl_1.0.4.tgz(r-4.4-emscripten)sparcl_1.0.4.tgz(r-4.3-emscripten)
sparcl.pdf |sparcl.html✨
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 6 years agofrom:a6b8a9418e. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
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 |