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

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1.0.2 by Lixiang Zhang, 14 days 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