...聚类（support vector clustering,SVC）的高耗费和低性能弊端,提出了简约支持向量聚类算法（reduced support vector clustering,RSVC）.RSVC的核心是简约策略和新的簇划分方法.
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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。
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.
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。
The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.
提出一种基于聚类算法和层次支持向量机的人脸识别方法。
In this paper a method of face recognition based on clustering algorithm and hierarchical support vector machines is presented.
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