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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) <doi:10.1002/sam.11418>. Lixiang Zhang, Lin Lin, and Jia Li (2020) <doi:10.1093/bioinformatics/btaa165>.
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Package details |
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| Author | Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut] |
| Maintainer | Lixiang Zhang <phoelief@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.6 |
| Package repository | View on CRAN |
| Installation |
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