Last data update: 2014.03.03
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wskm
Package: wskm
Version: 1.4.28
Date: 2015-07-08
Title: Weighted k-Means Clustering
Authors@R: c(person("Graham", "Williams", email="graham.williams@togaware.com", role="aut"),
person("Joshua Z", "Huang", email="zx.huang@szu.edu.cn", role="aut"),
person("Xiaojun", "Chen", email="xjchen.hitsz@gmail.com", role="aut"),
person("Qiang", "Wang", role="aut"),
person("Longfei", "Xiao", role="aut"),
person("He", "Zhao", email="Simon.Yansen.Zhao@gmail.com", role="cre"))
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>
Depends: R (>= 2.10), grDevices, stats, lattice, latticeExtra, clv
Description: 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.
License: GPL (>= 3)
Copyright: 2011-2014 Shenzhen Institutes of Advanced Technology Chinese
Academy of Sciences
LazyLoad: yes
LazyData: yes
URL: https://github.com/SimonYansenZhao/wskm,
http://english.siat.cas.cn/
BugReports: https://github.com/SimonYansenZhao/wskm/issues
NeedsCompilation: yes
Packaged: 2015-07-08 11:47:00 UTC; simon
Author: Graham Williams [aut],
Joshua Z Huang [aut],
Xiaojun Chen [aut],
Qiang Wang [aut],
Longfei Xiao [aut],
He Zhao [cre]
Repository: CRAN
Date/Publication: 2015-07-08 14:46:30
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'wskm' ...
** package 'wskm' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c Utils.c -o Utils.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c ewkm.c -o ewkm.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c fgkm.c -o fgkm.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c twkm.c -o twkm.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o wskm.so Utils.o ewkm.o fgkm.o twkm.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/wskm/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'wskm'
finding HTML links ... done
ewkm html
fgkm html
fgkm.sample html
plot.ewkm html
predict.ewkm html
twkm html
twkm.sample html
** building package indices
** testing if installed package can be loaded
* DONE (wskm)
Making 'packages.html' ... done
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