simonyansenzhao/weightedkmeans

An R package for weighted k-means clustering

weightedKmeans: An R Package for Weighted k-means Clustering

The weightedKmeans is an R package for weighted k-means clustering. And this repo is used for the next final version, because all the work afterwards will be continued on the new package wksm.

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.

Plan

As more functions and utilities are put into the package, we need a better name for it. The weightedKmeans package will be left as a transitional one for those R packages who depend on it. And no further updates will be made after we finish this transition.

Related links

• weightedKmeans on CRAN
• wskm on CRAN
• wskm on GitHub

License

GPL (>= 3)