An architecture and algorithms for multi-run clustering

2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings

Volumn , Issue , 2009, Pages 306-313

  Jiamthapthaksin, Rachsuda ^a   Eick, Christoph F ^a   Rinsurongkawong, Vadeerat ^a  

^a University of Houston   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; CLUSTERING RESULTS; CONCRETE SYSTEM; DATA MINING TASKS; DATA SETS; HIGH QUALITY; NOVEL SOLUTIONS; NOVELTY MEASURE; PARAMETER SETTING; PROPOSED ARCHITECTURES; RUNTIME; UTILITY FUNCTIONS;

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; MINING;

CLUSTERING ALGORITHMS;

EID: 67650470635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2009.4938664     Document Type: Conference Paper

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