Package: wskm
Version: 1.4.40
Date: 2020-04-04
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, fpc
Description: Entropy weighted k-means (ewkm) by Liping Jing, Michael
        K. Ng and Joshua Zhexue Huang (2007)
        <doi:10.1109/TKDE.2007.1048> 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) by Xiaojun
        Chen, Xiaofei Xu, Joshua Zhexue Huang and Yunming Ye (2013)
        <doi:10.1109/TKDE.2011.262> 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) by Xiaojun
        Chen, Yunminng Ye, Xiaofei Xu and Joshua Zhexue Huang (2012)
        <doi:10.1016/j.patcog.2011.06.004> 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: 2020-04-04 01:19:56 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: 2020-04-05 00:00:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:54:57 UTC; windows
Archs: i386, x64
