Multi-class support vector machines for large data sets via minimum enclosing ball clustering

2007 4th International Conference on Electrical and Electronics Engineering, ICEEE 2007

Volumn , Issue , 2007, Pages 146-149

  Cervantes, Jair ^a   Li, Xiaoou ^a   Yu, Wen ^a   Bejarano, Javier ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Minimum enclosing ball; Support vector machines

Indexed keywords

BENCHMARKING; CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; FLOW OF SOLIDS; IMAGE RETRIEVAL; LEARNING SYSTEMS; STAGES; TECHNOLOGY; VECTORS;

APPLICATIONS.; BENCH-MARK PROBLEMS; BINARY CLASSIFICATION; BINARY SVM; CLASSIFICATION ACCURACIES; DATA SETS; DE-CLUSTERING; INTERNATIONAL CONFERENCES; LARGE DATA SETS; MINIMUM ENCLOSING BALL; MULTI CLASS; MULTI-CLASS SUPPORT VECTOR MACHINES; SVM ALGORITHMS; SVM CLASSIFICATION; SVM CLASSIFIERS; TRAINING COMPLEXITY; TRAINING DATA; TWO STAGES;

SUPPORT VECTOR MACHINES;

EID: 49749131981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEEE.2007.4344994     Document Type: Conference Paper

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