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Cluster Based Core Vector Machine

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3 Author(s)
Asharaf, S. ; Indian Inst. of Sci., Bangalore ; Murty, M.N. ; Shevade, S.K.

Core vector machine(CVM) is suitable for efficient large-scale pattern classification. In this paper, a method for improving the performance of CVM with Gaussian kernel function irrespective of the orderings of patterns belonging to different classes within the data set is proposed. This method employs a selective sampling based training of CVM using a novel kernel based scalable hierarchical clustering algorithm. Empirical studies made on synthetic and real world data sets show that the proposed strategy performs well on large data sets.

Published in:

Data Mining, 2006. ICDM '06. Sixth International Conference on

Date of Conference:

18-22 Dec. 2006