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.
| Version: |
1.2.0 |
| Depends: |
lattice, latticeExtra, clv |
| Published: |
2012-04-27 |
| Author: |
Graham Williams, Joshua Z Huang, Xiaojun Chen, Qiang Wang,
Longfei Xiao |
| Maintainer: |
Graham Williams <Graham.Williams at togaware.com> |
| License: |
GPL (≥ 3) (see file LICENSE) |
| Copyright: |
2011-2012 Shenzhen Institutes of Advanced Technology Chinese
Academy of Sciences |
| URL: |
http://www.siat.ac.cn |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| CRAN checks: |
weightedKmeans results |