weightedKmeans
1.2.0Weighted KMeans Clustering
Overview
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.
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People & History
1 release. R releases are shown for context.
- RR 3.3.0 released · 2016-05-03
- replacedReplaced by another packagereplaced by wskm
- archivedRemoved from CRAN2015-07-09requested by the maintainer <Graham.Williams@togaware.com>
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 1.2.02012-04-27
- RR 2.15.0 released · 2012-03-30
Package metadata
- Total releases
- 1
- License
- GPL (>= 3) OSI
- Bundled data
- 197 KB / 1 file
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