Package: weightedKmeans
Version: 1.2.0
Date: 2012-04-27
Title: Weighted KMeans Clustering
Author: Graham Williams, Joshua Z Huang, Xiaojun Chen, Qiang Wang,
        Longfei Xiao
Maintainer: Graham Williams <Graham.Williams@togaware.com>
Depends: lattice, latticeExtra, clv
Description: Entropy weighted kmeans (ewkm) is a weighted subspace
        clustering algorithm that is well suited to very high
        dimensional data. Weights are calculated as the importance of a
        variable with regard to cluster membership. The feature group
        weighted kmenas (fgkm) extends this concept by grouping
        features and weighting the group in addition to weihgting
        individual features.
License: GPL (>= 3)
Copyright: 2011-2012 Shenzhen Institutes of Advanced Technology Chinese
        Academy of Sciences
LazyLoad: yes
LazyData: yes
URL: http://www.siat.ac.cn
Packaged: 2012-04-26 20:11:09 UTC; gjw
Repository: CRAN
Date/Publication: 2012-04-27 06:28:29
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2013-11-27 20:27:36 UTC; unix
Archs: weightedKmeans.so.dSYM
