A framework for multi-objective clustering and its application to co-location mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5678 LNAI, Issue , 2009, Pages 188-199

  Jiamthapthaksin, Rachsuda ^a   Eick, Christoph F ^a   Vilalta, Ricardo ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

Clustering with plug in fitness functions; Co location mining; Knowledge discovery; Multi objective clustering; Spatial data mining

Indexed keywords

CLUSTERING WITH PLUG-IN FITNESS FUNCTIONS; CO-LOCATION MINING; KNOWLEDGE DISCOVERY; MULTI-OBJECTIVE CLUSTERING; SPATIAL DATA MINING;

ARSENIC; COBALT COMPOUNDS; FUNCTION EVALUATION; HEALTH; MINING; MULTIOBJECTIVE OPTIMIZATION; ROUGH SET THEORY; SEARCH ENGINES; WATER SUPPLY;

CLUSTERING ALGORITHMS;

EID: 70350304852     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03348-3_20     Document Type: Conference Paper

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