Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis R package OTclust version 1.0.6 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>. Software Depends: R (>= 3.5.0) Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class LinkingTo: Rcpp Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust, mclust Lixiang Zhang <phoelief@gmail.com> Comprehensive R Archive Network (CRAN) Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut] GPL (>= 2) 2023-10-06 application/tgz https://CRAN.R-project.org/package=OTclust doi:10.32614/CRAN.package.OTclust