Parallel clustering algorithm for large data sets with applications in bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 6, Issue 2, 2009, Pages 344-352

  Olman, Victor ^a   Mao, Fenglou ^a   Wu, Hongwei ^a   Xu, Ying ^a  

^a University of Georgia ^*

Author keywords

Clustering algorithm; Genome application; Parallel processing; Pattern recognition

Indexed keywords

BIPARTITE GRAPHS; COMPUTATIONAL BOTTLENECKS; COMPUTATIONAL RESULTS; CONSTRUCTION ALGORITHMS; DATA POINTS; DATA SETS; DENSE CLUSTERS; GENOME APPLICATION; GRAPH REPRESENTATION; IDENTIFICATION PROBLEM; LARGE DATASETS; MINIMUM SPANNING TREES; PARALLEL PROCESSING; SINGLE CPU; SUBGRAPHS; TIME CONSUMPTION; VERY LARGE DATUM;

BIOINFORMATICS; CLUSTER ANALYSIS; COMMUNICATION CHANNELS (INFORMATION THEORY); GRAPH THEORY; PARALLEL ALGORITHMS; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; PATTERN RECOGNITION; SET THEORY;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CLUSTER ANALYSIS; COMPUTER PROGRAM; GENETIC DATABASE; METHODOLOGY; MULTIGENE FAMILY; REPRODUCIBILITY; STATISTICAL MODEL; SYSTEM ANALYSIS;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; LINEAR MODELS; MULTIGENE FAMILY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE; SYSTEMS INTEGRATION;

EID: 67549141548     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2007.70272     Document Type: Article

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