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Volumn , Issue , 2009, Pages 237-240
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An enhancement of K-means clustering algorithm
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Author keywords
Clustering; K means; Partitional clustering; Refining initial points
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Indexed keywords
CLUSTERING;
CLUSTERING RESULTS;
DATA SETS;
DISTANCE MEASURE;
EXECUTION TIME;
INITIAL CONDITIONS;
INITIAL POINT;
K CLUSTER;
K-MEANS;
K-MEANS ALGORITHM;
K-MEANS CLUSTERING ALGORITHM;
LARGE DATA;
NUMBER OF CLUSTERS;
PARTITIONAL CLUSTERING;
SAMPLE DATA;
SEED POINT;
INFORMATION DISSEMINATION;
REFINING;
WATER SUPPLY SYSTEMS;
CLUSTERING ALGORITHMS;
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EID: 71049130793
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/BIFE.2009.204 Document Type: Conference Paper |
Times cited : (15)
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References (6)
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