Scalable non-linear support vector machine using hierarchical clustering

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 908-911

  Asharaf, S ^a   Shevade, S K ^a   Narasimha Murty, M ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; HIERARCHICAL SYSTEMS; NONLINEAR SYSTEMS; SAMPLING; SUPPORT VECTOR MACHINES;

CLUSTER INDEXING STRUCTURES; DATA SETS; GAUSSIAN KERNEL FUNCTION;

CLUSTERING ALGORITHMS;

EID: 34047218906     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.1022     Document Type: Conference Paper

References (4)

1. C.-C. Chang and C.-J. Lin. Libsvm: A library for support vector machines, http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001.
2. C. P. Diehl and G. Cauwenberghs. SVM incremental learning, Adaptation and Optimization. In Proc. IEEE Int. Joint Conf. Neural Networks(IJCNN 2003), pages 20-23, Portland, Oregon, July 2003.
3. H. Yu, J. Yang, and J. Han. Classifying large data sets using SVM with hierarchical clusters. In Proc. 2003 ACM SIGKDD, pages 306-315, Washington, DC, Aug 2003.
4. T. Zhang, R. Ramakrishnan, and M. Livny. Birch: An efficient data clustering method for very large databases. In Proc. ACM SIGMOD Int.Conf. on Management of Data, pages 103-114, Montreal, Canada, ACM Press, NewYork, 1996.