whiboclustering
0.1.2White Box Clustering Algorithm Design
Overview
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.
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People & History
1 release. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-12-21check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
- 0.1.22018-11-20
- RR 3.5.0 released · 2018-04-23
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- GPL-3 OSI
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