Package: kmed
Type: Package
Title: Distance-Based k-Medoids
Version: 0.4.2
Date: 2022-08-29
Authors@R: person("Weksi","Budiaji", email = "budiaji@untirta.ac.id", role = c("aut","cre"))
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.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2
NeedsCompilation: no
Packaged: 2026-06-23 08:52:35 UTC; root
Author: Weksi Budiaji [aut, cre]
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>
Repository: https://weksi-budiaji.r-universe.dev
Date/Publication: 2022-08-29 05:40:02 UTC
RemoteUrl: https://github.com/cran/kmed
RemoteRef: HEAD
RemoteSha: 524e9900595f54da62981f1eb84215de44f1036b