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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.2 by Lixiang Zhang, a year ago

Browse source code at

Authors: Lixiang Zhang [aut, cre] , Beomseok Seo [aut] , Lin Lin [aut] , Jia Li [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, ggplot2, RColorBrewer, magrittr, class

Suggests knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust, mclust

Linking to Rcpp

See at CRAN