Obtaining better quality final clustering by merging a collection of clusterings

Motivation: Clustering methods including k-means, SOM, UPGMA, DAA, CLICK, GENECLUSTER, CAST, DHC, PMETIS and KMETIS have been widely used in biological studies for gene expression, protein localization, sequence recognition and more. All these clustering methods have some benefits and drawbacks. We...

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Veröffentlicht in:	Bioinformatics 2010-10, Vol.26 (20), p.2645-2646
Hauptverfasser:	Mimaroglu, Selim, Erdil, Ertunc
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and medical sciences Cluster Analysis Fundamental and applied biological sciences. Psychology Gene Expression Profiling - methods General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Proteins - analysis
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