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ksharp (version 0.1.0.1)

Cluster Sharpening

Description

Clustering typically assigns data points into discrete groups, but the clusters can sometimes be indistinct. Cluster sharpening adjusts an existing clustering to create contrast between groups. This package provides a general interface for cluster sharpening along with several implementations based on different excision criteria.

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Install

install.packages('ksharp')

Monthly Downloads

152

Version

0.1.0.1

License

MIT + file LICENSE

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Maintainer

Tomasz Konopka

Last Published

January 26th, 2020

Functions in ksharp (0.1.0.1)

ksharp

sharpen a clustering
medinfo

compute info on distances to medoids/centroids
kdata.2

Toy dataset with two non-overalpping and non-spherical groups
kdata.1

Toy dataset with two convex groups with partial overlap
kdata.3

Toy dataset with three groups
kdata.4

Toy dataset with four groups atop a wide area of noise points
silinfo

Compute info on silhouette widths
neiinfo

Compute info on `neighbor widths`