A new SVM classification approach via minimum within-class variance

Journal of Computational Information Systems

Volumn 6, Issue 1, 2010, Pages 39-45

  Ye, Qiaolin ^a,b   Zhao, Chunxia ^b   Ye, Ning ^a  

^a NANJING FORESTRY UNIVERSITY   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Classification performance; Kernel based case; With class variance

Indexed keywords

CLASSIFICATION PERFORMANCE; DATA SETS; SVM CLASSIFICATION;

SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 77954292884     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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