Semi-hard c-means clustering with application to classifier design

2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Volumn , Issue , 2010, Pages

  Ichihashi, H ^a   Notsu, A ^a   Honda, K ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; CLASSIFICATION PERFORMANCE; CLASSIFIER DESIGN; COMPUTATION TIME; COVARIANCE MATRICES; DECISION VARIABLES; FUZZY C MEANS CLUSTERING; GAUSSIAN MIXTURE MODELS; HARD C-MEANS CLUSTERING; HARD CLUSTERING; HYPER-PARAMETERS; K-NEAREST NEIGHBORS; KULLBACK LEIBLER DIVERGENCE; LARGE SCALE DATA; OBJECTIVE FUNCTIONS; STABLE CONVERGENCE; SVM CLASSIFIERS; WORKING SET SELECTION;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; COVARIANCE MATRIX; ENTROPY; MEMBERSHIP FUNCTIONS; PARTICLE SWARM OPTIMIZATION (PSO);

CLUSTERING ALGORITHMS;

EID: 78549233047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2010.5584553     Document Type: Conference Paper

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