weightedKmeans (1.2.0)

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Weighted KMeans Clustering.


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 7 years ago.



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