Package: kmed
Type: Package
Title: Distance-Based k-Medoids
Version: 0.0.1
Date: 2018-02-09
Author: Weksi Budiaji
Maintainer: Weksi Budiaji <budiaji@untirta.ac.id>
Description: A simple and fast distance-based k-medoids clustering algorithm from
  Park and Jun (2009) <doi:10.1016/j.eswa.2008.01.039>. Calculate distances for mixed
  variable data such as Gower (1971) <doi:10.2307/2528823>,
  Wishart (2003) <doi:10.1007/978-3-642-55721-7_23>, Podani (1999) <doi:10.2307/1224438>,
  Huang (1997) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.9984&rep=rep1&type=pdf>, and
  Harikumar and PV (2015) <doi:10.1016/j.procs.2015.10.077>.
  Cluster validation applies bootstrap procedure producing a heatmap with a flexible
  reordering matrix algorithm such as complete, ward, or average linkages.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: ggplot2
NeedsCompilation: no
Packaged: 2018-02-09 19:51:10 UTC; Weksi
Repository: CRAN
Date/Publication: 2018-02-12 10:12:53 UTC
