An efficient clustering method for medical data applications
文献类型：会议论文
| 作者 | Li S(李帅) ; Zhou XF(周晓锋); Shi HB(史海波); Zheng ZY(郑泽宇)
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| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| 会议日期 | June 8-12, 2015 |
| 会议地点 | Shenyang, China |
| 关键词 | fast search and find of density peaks clustering medical data applications |
| 页码 | 133-138 |
| 中文摘要 | Clustering task is aimed at classifying elements into clusters, which is applied to different fields of the human activity. In this paper, an efficient clustering method by fast search and find of density peaks (FSFDP) is used for medical data applications. Different computing methods of the local density are compared and analyzed. For datasets composed by a small number of points, the local density might be affected by large statistical errors. Kernel local density is more accurate for estimating the density. Experiments were conducted to validate the efficiencies of the clustering method based on different local density for UCI benchmark and real-life datasets. The results show the feasibility and efficiency of the method for medical data clustering analysis. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-4799-8730-6 |
| WOS记录号 | WOS:000380502300030 |
| 源URL | [http://ir.sia.cn/handle/173321/17352]  |
| 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 | Li S,Zhou XF,Shi HB,et al. An efficient clustering method for medical data applications[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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