whiboclustering: 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 <doi:10.1007/s10462-009-9133-6> and <doi:10.1016/j.datak.2012.03.005>.

Getting started

Package details

AuthorSandro Radovanovic <[email protected]>, Milan Vukicevic <[email protected]>
MaintainerSandro Radovanovic <[email protected]>
LicenseGPL-3
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("whiboclustering")

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whiboclustering documentation built on May 2, 2019, 6:46 a.m.