PCA and SVM Based on Multiple Kernels for Breast Cancer Classification
文献类型：会议论文
| 作者 | Yang XF(杨秀锋); Peng H(彭慧) ; Zhou XF(周晓锋); Zhang YL(章永来)
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| 出版日期 | 2013 |
| 会议名称 | International Conference on Computer Science and Artificial Intelligence (ICCSAI) |
| 会议日期 | NOV 16-17, 2013 |
| 会议地点 | Chengdu |
| 关键词 | breast cancer Principal Component Analysis (PCA) Support Vector Machines (SVM) multiple kernels |
| 页码 | 136-140 |
| 中文摘要 | In this paper, we propose an efficient algorithm based on Principal Component Analysis (PCA) and Support Vector Machines(SVM) with multiple kernels in the process of breast cancer classification. The first step, we use PCA to project high dimensional breast cancer data into much lower dimensional space. Second, we use SVM with multiple kernels to classify the lower dimensional breast cancer data. Finally, the experimental and analytical results show that the proposed algorithm has a better performance than traditional SVM for breast cancer classification. |
| 收录类别 | CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2013)
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| 会议录出版者 | DESTECH PUBLICATIONS, INC |
| 会议录出版地 | LANCASTER, PA |
| 语种 | 英语 |
| ISBN号 | 978-1-60595-132-4 |
| WOS记录号 | WOS:000330026100031 |
| 源URL | [http://ir.sia.cn/handle/173321/14561]  |
| 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,Zhou XF,et al. PCA and SVM Based on Multiple Kernels for Breast Cancer Classification[C]. 见:International Conference on Computer Science and Artificial Intelligence (ICCSAI). Chengdu. NOV 16-17, 2013. |
入库方式： OAI收割
来源：沈阳自动化研究所
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