Implements a novel approach for measuring feature importance in k-means clustering. Importance of a feature is measured by the misclassification rate relative to the baseline cluster assignment due to a random permutation of feature values. An explanation of permutation feature importance in general can be found here: <https://christophm.github.io/interpretable-ml-book/feature-importance.html>.
Version: 0.1.5 Depends: data.table Imports: ggplot2 Suggests: flexclust, clustMixType, knitr, rmarkdown, testthat, attempt, ClustImpute, covr Published: 2021-10-20 DOI: 10.32614/CRAN.package.FeatureImpCluster Author: Oliver Pfaffel [aut, cre] Maintainer: Oliver Pfaffel <opfaffel at gmail.com> License: GPL-3 NeedsCompilation: no Materials: README NEWS CRAN checks: FeatureImpCluster results Documentation: Reference manual: FeatureImpCluster.pdf Downloads: Package source: FeatureImpCluster_0.1.5.tar.gz Windows binaries: r-devel: FeatureImpCluster_0.1.5.zip, r-release: FeatureImpCluster_0.1.5.zip, r-oldrel: FeatureImpCluster_0.1.5.zip macOS binaries: r-release (arm64): FeatureImpCluster_0.1.5.tgz, r-oldrel (arm64): FeatureImpCluster_0.1.5.tgz, r-release (x86_64): FeatureImpCluster_0.1.5.tgz, r-oldrel (x86_64): FeatureImpCluster_0.1.5.tgz Old sources: FeatureImpCluster archive Linking:Please use the canonical form https://CRAN.R-project.org/package=FeatureImpCluster to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4