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
Repository: https://o1iv3r.r-universe.dev
Date/Publication: 2021-10-20 16:05:32 UTC
RemoteUrl: https://github.com/o1iv3r/featureimpcluster
RemoteRef: HEAD
RemoteSha: f66ba1c064f8cece55f6028a451ea1467123b5d6
NeedsCompilation: no
Packaged: 2026-10-01 07:59:12 UTC; root
Author: Oliver Pfaffel [aut, cre]
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>