Feature Importance for Partitional Clustering

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.


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install.packages("FeatureImpCluster")

0.1.2 by Oliver Pfaffel, 5 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