A C-means algorithm based on data field
文献类型：EI期刊论文
| 作者 | Wang Haijun ; Deng Yu ; Wang Li ; Guan Xingliang |
| 发表日期 | 2009 |
| 关键词 | Data mining Distribution functions Knowledge management Mining |
| 英文摘要 | C-means clustering is the first objective function clustering algorithm. Our purpose is to set forth a C-means algorithm based on data field, which can be widely applied to the classification and hierarchy in the field of spatial data mining and knowledge discovery. The basic idea of this method is to find the initial cluster centers based on the introduction of data field. Priority should find potential heart k according to the potential field distribution function, then select sample data being close on the potential heart. Finally, we can achieve C-means clustering algorithm. We presented the implementation steps of the method, and verified the feasible and scientific significance by examples. |
| 出处 | Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
 |
| 卷 | 34期:5页:626-269 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24562]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang Haijun,Deng Yu,Wang Li,et al. A C-means algorithm based on data field. 2009. |
入库方式： OAI收割
来源：地理科学与资源研究所
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