NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES

Kun ZHAO;Mingyu ZHANG;Naiyang DENG

系统科学与复杂性(英文) ›› 2011, Vol. 24 ›› Issue (3) : 466-476.

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系统科学与复杂性(英文) ›› 2011, Vol. 24 ›› Issue (3) : 466-476. DOI: 10.1007/s11424-011-8102-8
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NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES

    Kun ZHAO(1), Mingyu ZHANG(2), Naiyang DENG(3)
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NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES

    Kun ZHAO(1), Mingyu ZHANG(2), Naiyang DENG(3)
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摘要

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.

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.

关键词

Robust / semi-definite programming / support vector machines / unsupervised learning.

Key words

Robust / semi-definite programming / support vector machines / unsupervised learning.

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Kun ZHAO , Mingyu ZHANG , Naiyang DENG. NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES. 系统科学与复杂性(英文), 2011, 24(3): 466-476 https://doi.org/10.1007/s11424-011-8102-8
Kun ZHAO , Mingyu ZHANG , Naiyang DENG. NEW ROBUST UNSUPERVISED SUPPORT VECTOR MACHINES. Journal of Systems Science and Complexity, 2011, 24(3): 466-476 https://doi.org/10.1007/s11424-011-8102-8
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