kdata.4

<p>Toy dataset with four groups atop a wide area of noise points</p>

datasets

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.

Tomasz Konopka

ksharp

Cluster Sharpening

kdata.4 function

<p>matrix with two columns: <code>D1</code>, <code>D2</code></p>

kdata.4: Toy dataset with four groups atop a wide area of noise points

Description

Usage

Arguments

Format