现代电子技术2011，Vol.34Issue(23)：55-58,4.
基于一种混合核函数的支持向量机聚类
Support Vector Clustering Algorithm Based on Mixed Kernel Function
摘要
Abstract
The method that using a single kernel has great limitations in support vector clustering, in order to get an improved generalization performance and learning ability kernel function, a new mixed kernel function is proposed, and the data clustering experiment shows that the SVM performance in support vector clustering is much more efficient than the ones using only single traditional kernel.关键词
SVM/混合核函数/加权多宽度高斯核/支持向量聚类Key words
SVM/ mixed kernel funtion/ weighted Gaussian kernel with multiple widths/ support vector clustering分类
信息技术与安全科学引用本文复制引用
李希鹏,赵犁丰..基于一种混合核函数的支持向量机聚类[J].现代电子技术,2011,34(23):55-58,4.基金项目
863计划项目:基于ROV的黄色物质水下原位探测系统(2008AA09Z105) （2008AA09Z105）
