White Box Clustering Algorithm Design

White Box Cluster Algorithm Design allows you to create Representative based cluster algorithm by using reusable components. This way one can recreate already available cluster algorithms (i.e. K-Means, K-Means++, PAM) but also create new cluster algorithms not available in the literature or any other software. For more information see papers and .


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Reference manual

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install.packages("whiboclustering")

0.1.2 by Sandro Radovanovic, 4 months ago


Browse source code at https://github.com/cran/whiboclustering


Authors: Sandro Radovanovic <[email protected]> , Milan Vukicevic <[email protected]>


Documentation:   PDF Manual  


GPL-3 license


Depends on graphics, stats, clusterCrit, cluster

Suggests methods, testthat


See at CRAN