SVM with multiple kernels based on manifold learning for Breast Cancer diagnosis

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	SVM with multiple kernels based on manifold learning for Breast Cancer diagnosis
	Yang XF(杨秀锋); Peng H(彭慧); Shi, Mingrui
	2013
会议名称	2013 IEEE International Conference on Information and Automation, ICIA 2013
会议日期	August 26-28, 2013
会议地点	Yinchuan, China
关键词	Algorithms Diseases
页码	396-399
通讯作者	杨秀锋
中文摘要	In this paper, we propose an efficient algorithm Support Vector Machines with multiple kernels based on Isometric feature mapping(Isomap) in the process of breast cancer classification. We use Wisconsin Diagnostic Breast Cancer (WDBC) as our original data set. The first step, we use Isomap to project high dimensional breast cancer data into a much lower dimensional space. Second, we use SVM with multiple kernels to classify the lower dimensional breast cancer data. Finally, the experimental results illustrate that the proposed algorithm has a better performance than traditional SVM for breast cancer classification.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	2013 IEEE International Conference on Information and Automation, ICIA 2013
会议录出版者	IEEE Computer Society
会议录出版地	Washington, DC
语种	英语
ISBN号	978-1-4799-1334-3
WOS记录号	WOS:000346483800071
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/14562]
专题	沈阳自动化研究所_数字工厂研究室
推荐引用方式 GB/T 7714	Yang XF,Peng H,Shi, Mingrui. SVM with multiple kernels based on manifold learning for Breast Cancer diagnosis[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. August 26-28, 2013.