o1iv3r/FeatureImpCluster
Feature Importance for Partitional Clustering

Package index
Search the o1iv3r/FeatureImpCluster package
Vignettes
Functions
8
Source code
7
Man pages
4
Home
/
GitHub
/
o1iv3r/FeatureImpCluster: Feature Importance for Partitional Clustering
/
Man pages

Man pages for o1iv3r/FeatureImpCluster
Feature Importance for Partitional Clustering

create_random_dataCreate random data set with 4 clusters
FeatureImpClusterFeature importance for k-means clustering
PermMisClassRatePermutation misclassification rate for single variable
plotFeature importance box plot
o1iv3r/FeatureImpCluster documentation built on Oct. 21, 2021, 12:24 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close