Package: OTclust Title: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis Version: 1.0.6 Authors@R: c(person("Lixiang", "Zhang", email = "phoelief@gmail.com", role = c("aut", "cre")),person("Beomseok", "Seo", email = "bzs32@psu.edu", role = "aut"),person("Lin", "Lin", email = "lynn.lin@duke.edu", role = "aut"),person("Jia", "Li", email = "jiali@psu.edu", role = "aut")) Author: Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut] Maintainer: Lixiang Zhang Description: 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) . Depends: R (>= 3.5.0) License: GPL (>= 2) Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.2 Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust, mclust VignetteBuilder: knitr LinkingTo: Rcpp Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class NeedsCompilation: yes Packaged: 2026-10-01 09:45:07 UTC; root Repository: https://lixiangzhang.r-universe.dev Date/Publication: 2023-10-06 06:44:30 UTC RemoteUrl: https://github.com/lixiangzhang/otclust RemoteRef: HEAD RemoteSha: 8070f0d0ffd0abe3ea56affd93695d94e60a8d67