COMUSA is a software for combining the benefits of a collection of clusterings into a final clustering having better overall quality.COMUSA implementation is compared with PMETIS, KMETIS, and k-means. Experimental results on artificial, real, and biological data sets demonstrate the effectiveness of our method. COMUSA produces very good quality clusters in a short amount of time.
Selim Mimaroglu , Ertunc Erdil
- Linux/Windows / MacOsX
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Bioinformatics. 2010 Oct 15;26(20):2645-6. Epub 2010 Aug 24.
Obtaining better quality final clustering by merging a collection of clusterings.
Mimaroglu S, Erdil E.