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提出了一种基于孤立点检测的核聚类入侵检测方法。
An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.
采用核聚类简化的方法降低计算复杂度，提高算法的鲁棒性。
Then the simplified method of kernel clustering was used to reduce the computational complexity and improve the robustness of algorithm.
通过研究核映射机理，提出了用于聚类分析的高斯核聚类算法。
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
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