CRAN/E | FeatureImpCluster

FeatureImpCluster

Feature Importance for Partitional Clustering

Installation

About

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: .

Key Metrics

Version 0.1.5
Published 2021-10-20 890 days ago
Needs compilation? no
License GPL-3
CRAN checks FeatureImpCluster results

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Maintainer

Maintainer

Oliver Pfaffel

opfaffel@gmail.com

Authors

Oliver Pfaffel

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FeatureImpCluster archive

Depends

data.table

Imports

ggplot2

Suggests

flexclust
clustMixType
knitr
rmarkdown
testthat
attempt
ClustImpute
covr