SCOPUS 정보 검색 플랫폼

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 717-726

Methods of decreasing the number of support vectors via k-mean clustering

(4) Xia, Xiao Lei a Lyu, Michael R b Lok, Tat Ming b Huang, Guang Bin c

a INSTITUTE OF INTELLIGENT MACHINES (China)

b CHINESE UNIVERSITY OF HONG KONG (Hong Kong)

c NANYANG TECHNOLOGICAL UNIVERSITY (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; DATA PROCESSING; INFORMATION TECHNOLOGY; OPTIMIZATION; VECTORS; INTELLIGENT COMPUTING; OPTICAL RADAR; SUPPORT VECTOR MACHINES;

K-MEAN CLUSTERING ALGORITHM; SEQUENTIAL MINIMIZATION OPTIMIZATION (SMO); SUPPORT VECTOR MACHINES (SVM); SUPPORT VECTORS (SV); ANIL; DECISION FUNCTIONS; K-MEAN CLUSTERING; SEQUENTIAL MINIMAL OPTIMIZATION ALGORITHMS; SUPPORT VECTOR; SUPPORT VECTORS(SVS); SVM CLASSIFIERS;

DATABASE SYSTEMS; K-MEANS CLUSTERING;

EID: 27144556127 PISSN: 03029743 EISSN: None Source Type: Conference Proceeding
DOI: 10.1007/11538059_75 Document Type: Conference Paper

Times cited : (16)

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