OTclust
Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis
Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result. Jia Li, Beomseok Seo, and Lin Lin (2019). Lixiang Zhang, Lin Lin, and Jia Li (2020).
- Version1.0.6
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/06/2023
Documentation
Team
Lixiang Zhang
Jia Li
Show author detailsRolesAuthorLin Lin
Show author detailsRolesAuthorBeomseok Seo
Show author detailsRolesAuthor
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- Imports5 packages
- Suggests8 packages
- Linking To1 package