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.


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Reference manual

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install.packages("ksharp")

0.1.0.1 by Tomasz Konopka, 9 months ago


https://github.com/tkonopka/ksharp


Report a bug at https://github.com/tkonopka/ksharp/issues


Browse source code at https://github.com/cran/ksharp


Authors: Tomasz Konopka [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports methods, stats

Suggests cluster, dbscan, knitr, Rcssplot, rmarkdown, testthat


See at CRAN