Agreement-based fuzzy C-means for clustering data with blocks of features

Neurocomputing

Volumn 127, Issue , 2014, Pages 266-280

  Izakian, Hesam ^a   Pedrycz, Witold ^a,b,c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Collaborative clustering; Consensus based clustering; Euclidean distance; Fuzzy C means clustering; Particle swarm optimization

Indexed keywords

ALGORITHM OF FUZZY; COLLABORATIVE CLUSTERING; CONSENSUS-BASED CLUSTERING; EUCLIDEAN DISTANCE; EVALUATION CRITERIA; FUZZY C MEANS CLUSTERING; SPATIAL COORDINATES; SPATIO-TEMPORAL DATA;

CLUSTERING ALGORITHMS; FUZZY CLUSTERING; PARTICLE SWARM OPTIMIZATION (PSO); SEMANTICS;

FUZZY SYSTEMS;

ARTICLE; CASE STUDY; FIRE; FUZZY C MEANS CLUSTERING; FUZZY SYSTEM; HOUSING; IRIDACEAE; MACHINE LEARNING; MATHEMATICAL PARAMETERS; PARTICLE SWARM OPTIMIZATION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

EID: 84888431725     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.006     Document Type: Article

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