wskm: Weighted k-Means Clustering
Version 1.4.28

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.

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
URL https://github.com/SimonYansenZhao/wskm http://english.siat.cas.cn/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("wskm")

Popular man pages

ewkm: Entropy Weighted K-Means
fgkm: Feature Group Weighting K-Means for Subspace clustering
fgkm.sample: Sample dataset to illustrate the fgkm algorithm.
plot.ewkm: Plot Entropy Weighted K-Means Weights
predict.ewkm: Predict method for 'ewkm' model.
twkm: Two-level variable weighting clustering
twkm.sample: Sample dataset to test the twkm algorithm.
See all...

All man pages Function index File listing

Man pages

ewkm: Entropy Weighted K-Means
fgkm: Feature Group Weighting K-Means for Subspace clustering
fgkm.sample: Sample dataset to illustrate the fgkm algorithm.
plot.ewkm: Plot Entropy Weighted K-Means Weights
predict.ewkm: Predict method for 'ewkm' model.
twkm: Two-level variable weighting clustering
twkm.sample: Sample dataset to test the twkm algorithm.

Functions

ewkm Man page Source code
fgkm Man page Source code
fgkm.sample Man page
levelplot.ewkm Man page Source code
plot.ewkm Man page Source code
predict Man page
predict.ewkm Man page Source code
twkm Man page Source code
twkm.sample Man page

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
wskm documentation built on May 19, 2017, 11:43 p.m.