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New robust unsupervised support vector machines

by: Kun Zhao, Mingyu Zhang, Naiyang Deng
In Journal of Systems Science and Complexity, Vol. 24, No. 3. (2011), pp. 466-476, doi:10.1007/s11424-011-8102-8  Key: citeulike:12072934

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Abstract

This paper proposes robust version to unsupervised classification algorithm based on modified robust version of primal problem of standard SVMs, which directly relaxes it with label variables to a semi-definite programming. Numerical results confirm the robustness of the proposed method.


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