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A Coreset-Based Semi-supverised Clustering Using One-Class Support Vector Machines

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1 Author(s)
Lei Gu ; Guangxi Key Lab. of Wireless Wideband Commun. & Signal Process., Guilin, China

The traditional one-class support vector machines problem can be transformed into solving the minimum enclosing ball problem by the use of the corset. In this paper, the notion of the corset is applied to a semi-supervised clustering using one-class support vector machines. Experimental results show that this proposed algorithm not only can maintain the clustering performance, but also can decrease the running time of the clustering method.

Published in:

Control Engineering and Communication Technology (ICCECT), 2012 International Conference on

Date of Conference:

7-9 Dec. 2012