A novel approach for automatic number of clusters detection in microarray data based on consensus clustering

Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

Volumn , Issue , 2009, Pages 84-91

  Vinh, Nguyen Xuan ^a   Epps, Julien ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADJUSTED RAND INDEX; CLUSTER STRUCTURE; CLUSTERINGS; CONSENSUS CLUSTERING; DATA SETS; HIGH QUALITY; MEDICAL RESEARCH; MICROARRAY DATA; MICROARRAY DATA SETS; MUTUAL INFORMATIONS; NOVEL METHODS; NUMBER OF CLUSTERS; SIMILARITY MEASURE; SUB-GROUPS;

BIOINFORMATICS; FEATURE EXTRACTION; INFORMATION THEORY;

CLUSTER ANALYSIS;

EID: 70449378725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2009.19     Document Type: Conference Paper

References (14)

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