wskm

cranv1.4.40

Weighted k-Means Clustering. 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 membe

License GPL (>= 3)0 versions1 maintainers5 deps94 weekly dl
SimonYansenZhao/wskm
39
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  • Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known
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Dependencies (5)
grDevicesstatslatticelatticeExtrafpc
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First published · 2020-04-05 01:38:26

Last updated · 2020-04-04T23:00:02+00:00

wskm — Health Score 39/100 | DepScope