{ "_id": "6a1ed92db401979e7340f2aa", "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\"),\nperson(\"Joshua Z\", \"Huang\", email=\"zx.huang@szu.edu.cn\", role=\"aut\"),\nperson(\"Xiaojun\", \"Chen\", email=\"xjchen.hitsz@gmail.com\", role=\"aut\"),\nperson(\"Qiang\", \"Wang\", role=\"aut\"),\nperson(\"Longfei\", \"Xiao\", role=\"aut\"),\nperson(\"He\", \"Zhao\", email=\"Simon.Yansen.Zhao@gmail.com\", role=\"cre\"))", "Maintainer": "He Zhao ", "Description": "Entropy weighted k-means (ewkm) by Liping Jing, Michael K.\nNg and Joshua Zhexue Huang (2007) \nis a weighted subspace clustering algorithm that is well suited\nto very high dimensional data. Weights are calculated as the\nimportance of a variable with regard to cluster membership. The\ntwo-level variable weighting clustering algorithm tw-k-means\n(twkm) by Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang and\nYunming Ye (2013) introduces two\ntypes of weights, the weights on individual variables and the\nweights on variable groups, and they are calculated during the\nclustering process. The feature group weighted k-means (fgkm)\nby Xiaojun Chen, Yunminng Ye, Xiaofei Xu and Joshua Zhexue\nHuang (2012) extends this\nconcept by grouping features and weighting the group in\naddition to weighting individual features.", "License": "GPL (>= 3)", "Copyright": "2011-2014 Shenzhen Institutes of Advanced Technology Chinese\nAcademy of Sciences", "LazyLoad": "yes", "LazyData": "yes", "URL": "https://github.com/SimonYansenZhao/wskm,\nhttp://english.siat.cas.cn/", "BugReports": "https://github.com/SimonYansenZhao/wskm/issues", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 09:29:15 UTC", "User": "root" }, "Author": "Graham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen\n[aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2020-04-04 23:00:02 UTC", "RemoteUrl": "https://github.com/cran/wskm", "RemoteRef": "HEAD", "RemoteSha": "881bfb4787d7b8a4764d236a389eb9cda605fcdd", "MD5sum": 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