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kmed  

Distance-Based k-Medoids
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kmed", "0.4.2")



Attach the package and use:
library("kmed")
Maintained by
Weksi Budiaji
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-12
Latest Update: 2022-08-29
Description:
Algorithms of distance-based k-medoids clustering: simple and fast k-medoids, ranked k-medoids, and increasing number of clusters in k-medoids. Calculate distances for mixed variable data such as Gower, Podani, Wishart, Huang, Harikumar-PV, and Ahmad-Dey. Cluster validation applies internal and relative criteria. The internal criteria includes silhouette index and shadow values. The relative criterium applies bootstrap procedure producing a heatmap with a flexible reordering matrix algorithm such as complete, ward, or average linkages. The cluster result can be plotted in a marked barplot or pca biplot.
How to cite:
Weksi Budiaji (2018). kmed: Distance-Based k-Medoids. R package version 0.4.2, https://cran.r-project.org/web/packages/kmed
Previous versions and publish date:
0.0.1 (2018-02-12 11:12), 0.1.0 (2018-08-07 12:10), 0.2.0 (2019-01-02 19:30), 0.3.0 (2019-06-14 10:00), 0.4.0 (2021-01-04 21:00)
Other packages that cited kmed R package
View kmed citation profile
Other R packages that kmed depends, imports, suggests or enhances
Functions, R codes and Examples using the kmed R package
Some associated functions: barplotnum . clust4 . clust5 . clustboot . clustheatmap . consensusmatrix . cooccur . csv . distNumeric . distmix . fastkmed . globalfood . heart . inckmed . matching . msv . pcabiplot . rankkmed . sil . skm . 
Some associated R codes: barplotnum.R . clustboot.R . clustheatmap.R . consensusmatrix.R . cooccur.R . csv.R . data.R . distNumeric.R . distmix.R . fastkmed.R . inckmed.R . matching.R . msv.R . pcabiplot.R . rankkmed.R . sil.R . skm.R . weightednum.R .  Full kmed package functions and examples
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