wskm: Weighted k-Means Clustering

Entropy weighted k-means (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 two-level variable weighting clustering algorithm tw-k-means (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 k-means (fgkm) extends this concept by grouping features and weighting the group in addition to weighting individual features.

Install the latest version of this package by entering the following in R:
install.packages("wskm")
AuthorGraham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen [aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre]
Date of publication2015-07-08 14:46:30
MaintainerHe Zhao <Simon.Yansen.Zhao@gmail.com>
LicenseGPL (>= 3)
Version1.4.28
https://github.com/SimonYansenZhao/wskm, http://english.siat.cas.cn/

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Files

inst
inst/CITATION
inst/ChangeLog
tests
tests/Makefile
tests/fgkm_test.R
tests/twkm_test.Rout.save
tests/fgkm_test.Rout.save
tests/twkm_test.R
tests/ewkm01.Rout.save
tests/ewkm01.R
tests/ewkm01.csv
src
src/Utils.h
src/fgkm.c
src/twkm.c
src/Utils.c
src/ewkm.c
NAMESPACE
data
data/multiplefeatures_remove_pix.RData
data/datalist
data/fgkm.sample.RData
R
R/predict.ewkm.R R/ewkm.R R/plot.ewkm.R R/fgkm.R R/twkm.R R/levelplot.ewkm.R
MD5
DESCRIPTION
man
man/ewkm.Rd man/fgkm.sample.Rd man/twkm.Rd man/plot.ewkm.Rd man/predict.ewkm.Rd man/twkm.sample.Rd man/fgkm.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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