| Name : R-wskm
| |
| Version : 1.4.40
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.4.7
| Date : 2024-06-14 11:48:22
|
| Group : Development/Libraries/Other
| Source RPM : R-wskm-1.4.40-lp153.4.7.src.rpm
|
| Size : 3.11 MB
| |
| Packager : (none)
| |
| Summary : Weighted k-Means Clustering
|
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
