| cluster analysis and optimization in color-based clustering for image abstract | |
| He Jing; Huang Guangyan; Zhang Yanchun; Shi Yong | |
| 2007 | |
| 会议名称 | 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 |
| 会议录名称 | Proceedings - IEEE International Conference on Data Mining, ICDM |
| 页码 | 213-218 |
| 会议日期 | 40844 |
| 会议地点 | Omaha, NE, United states |
| 收录类别 | ei |
| 出版地 | United States |
| ISSN | 15504786 |
| ISBN | 769530192 |
| 部门归属 | (1) School of Computer Science and Mathematics, Victoria University, Australia; (2) Institute of Software, Chinese Academy of Sciences, Beijing 100080, China; (3) Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing |
| 摘要 | Cluster analysis has been identified as a core task in data mining. What constitutes a cluster, or a good clustering, may depend on the background of researchers and applications. This paper proposes two optimization criteria of abstract degree and fideli |
| 关键词 | Abstracting Administrative Data Processing Chlorine Compounds Clustering Algorithms Color Data Mining Decision Support Systems Flow Of Solids Information Management Knowledge Management Mining Optical Properties Optimization Ran |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/10902 |
| 专题 | 中国科学院软件研究所 |
| 推荐引用方式 GB/T 7714 | He Jing,Huang Guangyan,Zhang Yanchun,et al. cluster analysis and optimization in color-based clustering for image abstract[C]. United States,2007:213-218. |
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