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>.
| 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 |
Documentation:
Downloads:
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