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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.
| Version: | 1.4.40 |
| Depends: | R (≥ 2.10), grDevices, stats, lattice, latticeExtra, fpc |
| Published: | 2020-04-05 |
| Author: | Graham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen [aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre] |
| Maintainer: | He Zhao <Simon.Yansen.Zhao at gmail.com> |
| BugReports: | https://github.com/SimonYansenZhao/wskm/issues |
| License: | GPL (≥ 3) |
| Copyright: | 2011-2014 Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences |
| URL: | https://github.com/SimonYansenZhao/wskm, http://english.siat.cas.cn/ |
| NeedsCompilation: | yes |
| Citation: | wskm citation info |
| Materials: | ChangeLog |
| CRAN checks: | wskm results |
| Reference manual: | wskm.pdf |
| Package source: | wskm_1.4.40.tar.gz |
| Windows binaries: | r-devel: wskm_1.4.40.zip, r-release: wskm_1.4.40.zip, r-oldrel: wskm_1.4.40.zip |
| macOS binaries: | r-release (arm64): wskm_1.4.40.tgz, r-oldrel (arm64): wskm_1.4.40.tgz, r-release (x86_64): wskm_1.4.40.tgz, r-oldrel (x86_64): wskm_1.4.40.tgz |
| Old sources: | wskm archive |
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