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Volumn , Issue , 2009, Pages

K-means clustering using max-min distance measure

Author keywords

Clustering; Euclidean distance; K means algorithm; Max min distance

Indexed keywords

BENCHMARK DATASETS; CLUSTER CENTROIDS; CLUSTERING; DATA OBJECTS; DISTANCE MEASURE; EUCLIDEAN DISTANCE; EUCLIDEAN DISTANCE MEASURE; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING; MACHINE-LEARNING; MAX-MIN; MAX-MIN DISTANCE; NUMBER OF ITERATIONS; UNSUPERVISED CLASSIFICATION;

EID: 70350402322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2009.5156398     Document Type: Conference Paper
Times cited : (44)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.