By means of analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, rough kernel k-means clustering algorithm, was proposed for clustering analysis.

通过研究核聚类算法，以及粗糙集，提出了一个新的用于聚类分析的粗糙核聚类方法。

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Part of the responsibility of the BSD layer in the XNU kernel is making this rough mapping concrete.

在XNU内核中，BS D层的一部分责任就是将这些进行粗略的实体映射。

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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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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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