kernel-based possibilistic clustering 核可能性聚类
Kernel-Based Fuzzy C-Means Clustering Arithmetic 基于核函数模糊C均值聚类
Kernel-Based Fuzzy C-Means Clustering Algorithm 核函数模糊C均值聚类算法
Based on the analysis of the core concepts of the kernel methods, a clustering algorithm based on kernel methods was put forward.
在分析核方法的核心概念基础上，提出了一种基于核方法的聚类算法。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.
提出了一种基于孤立点检测的核聚类入侵检测方法。
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