Package: FeatureImpCluster
Title: Feature Importance for Partitional Clustering
Version: 0.1.5
Authors@R: 
    person(given = "Oliver",
           family = "Pfaffel",
           role = c("aut", "cre"),
           email = "opfaffel@gmail.com")
Description: 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>.
License: GPL-3
Encoding: UTF-8
Suggests: flexclust, clustMixType, knitr, rmarkdown, testthat, attempt,
        ClustImpute, covr
Imports: ggplot2
RoxygenNote: 7.1.1
Depends: data.table
NeedsCompilation: no
Packaged: 2021-10-20 16:04:14 UTC; opfaf
Author: Oliver Pfaffel [aut, cre]
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-20 16:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 07:24:47 UTC; unix
