This paper compared some common support vector machines for multi-class classification problems,and proposed a multi-class support vector machine based on fuzzy kernel clustering algorithm.
本文在比较常用的几种多类支持向量机分类算法基础上,提出了一种基于模糊核聚类的多类支持向量机分类方法。
参考来源 - 基于模糊核聚类的多类支持向量机·2,447,543篇论文数据，部分数据来源于NoteExpress
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
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 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 modified kernel clustering algorithm is faster than the classical algorithm in convergence and more accurate in clustering.
该聚类方法在性能上比经典聚类算法有所改进，具有更快的收敛速度以及较高的准确度。
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