OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation andVisualization 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>.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp,ggplot2,RColorBrewer,magrittr,class |
| LinkingTo: | Rcpp |
| Suggests: | knitr,rmarkdown,tsne,umap,HDclust,dbscan,flexclust,mclust |
| Published: | 2023-10-06 |
| DOI: | 10.32614/CRAN.package.OTclust |
| Author: | Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut] |
| Maintainer: | Lixiang Zhang <phoelief at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | OTclust results |
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