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.
It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
0.1.2 by Oliver Pfaffel, 8 months ago
Browse source code at https://github.com/cran/FeatureImpCluster
Authors: Oliver Pfaffel [aut, cre]
Documentation: PDF Manual
GPL-3 license
Imports ggplot2
Depends on data.table
Suggests flexclust, clustMixType, knitr, rmarkdown, testthat, attempt, ClustImpute, covr
See at CRAN