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.

Version: 1.0.4
Depends: R (≥ 3.1.0)
Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust, mclust
Published: 2020-12-17
Author: Lixiang Zhang [aut, cre], Beomseok Seo [aut], Lin Lin [aut], Jia Li [aut]
Maintainer: Lixiang Zhang <lzz46 at psu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: OTclust results


Reference manual: OTclust.pdf
Vignettes: Quick tour of OTclust
Package source: OTclust_1.0.4.tar.gz
Windows binaries: r-devel: OTclust_1.0.4.zip, r-release: OTclust_1.0.4.zip, r-oldrel: OTclust_1.0.4.zip
macOS binaries: r-release: OTclust_1.0.4.tgz, r-oldrel: OTclust_1.0.4.tgz
Old sources: OTclust archive


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