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 twolevel variable weighting clustering algorithm twkmeans (twkm) introduces two types of weights, the weights on individual variables and the weights on variable groups, and they are calculated during the clustering process. The feature group weighted kmeans (fgkm) extends this concept by grouping features and weighting the group in addition to weighting individual features.
Package details 


Author  Graham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen [aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre] 
Date of publication  20150708 14:46:30 
Maintainer  He Zhao <[email protected]> 
License  GPL (>= 3) 
Version  1.4.28 
URL  https://github.com/SimonYansenZhao/wskm http://english.siat.cas.cn/ 
Package repository  View on CRAN 
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