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ksharp: Cluster Sharpening
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.
Getting started
Browse package contents
Package details |
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| Author | Tomasz Konopka [aut, cre] |
| Maintainer | Tomasz Konopka <tokonopka@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0.1 |
| URL | https://github.com/tkonopka/ksharp |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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