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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:

Reference manual: OTclust.pdf
Vignettes: Quick tour of OTclust

Downloads:

Package source: OTclust_1.0.6.tar.gz
Windows binaries: r-devel: OTclust_1.0.6.zip, r-release: OTclust_1.0.6.zip, r-oldrel: OTclust_1.0.6.zip
macOS binaries: r-release (arm64): OTclust_1.0.6.tgz, r-oldrel (arm64): OTclust_1.0.6.tgz, r-release (x86_64): OTclust_1.0.6.tgz, r-oldrel (x86_64): OTclust_1.0.6.tgz
Old sources: OTclust archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OTclust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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