Rough set was applied to clustering method in view of soft kernel of support vector clustering(SVC).

支持向量聚类是基于支持向量机和核方法的一种新颖的聚类方法。

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The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.

文中引入支持向量聚类（SVC）算法对多分量LFM信号进行检测和参数估计。

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According to the border region of rough set theory and the merits of V-support vector machine, the algorithm of support vector clustering is improved.

根据粗糙集理论的边界区域和V -支持向量机的优点对支持向量聚类算法进行改进。

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