weightedKmeans (1.2.0)

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Weighted KMeans Clustering.

http://www.siat.ac.cn
http://cran.r-project.org/web/packages/weightedKmeans

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.

Maintainer: Graham Williams
Author(s): Graham Williams, Joshua Z Huang, Xiaojun Chen, Qiang Wang, Longfei Xiao

License: GPL (>= 3)

Uses: clv, lattice, latticeExtra
Reverse suggests: rattle

Released over 6 years ago.


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