Using graph-based consensus clustering for combining K-means clustering of heterogeneous chemical structures

Faisal Saeed; Naomie Salim; Ammar Abdo; Hentabli Hamza

doi:10.1186/1758-2946-5-s1-p50

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Using graph-based consensus clustering for combining K-means clustering of heterogeneous chemical structures

Faisal Saeed Naomie Salim Ammar Abdo Hentabli Hamza

Year: 2013 Journal: Journal of Cheminformatics Vol: 5 (S1) Publisher: BioMed Central

DOI: 10.1186/1758-2946-5-s1-p50

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Keywords:

Cluster analysis Computer science Data mining Consensus clustering Graph Cluster (spacecraft) Fuzzy clustering Artificial intelligence CURE data clustering algorithm Theoretical computer science

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Analytical Chemistry and Chromatography

Physical Sciences → Chemistry → Spectroscopy

Metabolomics and Mass Spectrometry Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Using graph-based consensus clustering for combining K-means clustering of heterogeneous chemical structures

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