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: 2022-08-28 22:39:50 UTC; Weksi Budiaji
Author: Weksi Budiaji [aut, cre]
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>
Repository: CRAN
Date/Publication: 2022-08-29 06:40:02 UTC
Built: R 4.6.0; ; 2026-04-28 05:42:41 UTC; unix
