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ksharp  

Cluster Sharpening
View on CRAN: Click here


Download and install ksharp package within the R console
Install from CRAN:
install.packages("ksharp")

Install from Github:
library("remotes")
install_github("cran/ksharp")

Install by package version:
library("remotes")
install_version("ksharp", "0.1.0.1")



Attach the package and use:
library("ksharp")
Maintained by
Tomasz Konopka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-26
Latest Update: 2020-01-26
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.
How to cite:
Tomasz Konopka (2020). ksharp: Cluster Sharpening. R package version 0.1.0.1, https://cran.r-project.org/web/packages/ksharp. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ksharp R package
View ksharp citation profile
Other R packages that ksharp depends, imports, suggests or enhances
Complete documentation for ksharp
Functions, R codes and Examples using the ksharp R package
Some associated functions: kdata.1 . kdata.2 . kdata.3 . kdata.4 . ksharp . medinfo . neiinfo . silinfo . 
Some associated R codes: checks.R . kdata.R . ksharp.R . medinfo.R . neiinfo.R . silinfo.R .  Full ksharp package functions and examples
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