Package: kmed
Type: Package
Title: Distance-Based K-Medoids
Version: 0.3.0
Date: 2019-06-14
Author: Weksi Budiaji
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>
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 validations apply internal and relative 
  criteria. The internal criteria include silhouette index and 
  shadow values. The relative criterium applies bootstrap procedure 
  producing a heatmap with a flexible reordering matrix algorithm 
  such as ward, complete, or centroid linkages. The cluster result 
  can be plotted in a marked barplot or pca biplot.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2
NeedsCompilation: no
Packaged: 2019-06-14 00:50:48 UTC; Weksi
Repository: CRAN
Date/Publication: 2019-06-14 08:00:10 UTC
