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。
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。
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。
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