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| cluster analysis and optimization in color-based clustering for image abstract | |
| He Jing; Huang Guangyan; Zhang Yanchun; Shi Yong | |
| 2007 | |
| Conference Name | 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 |
| Source | Proceedings - IEEE International Conference on Data Mining, ICDM |
| Pages | 213-218 |
| Conference Date | 40844 |
| Conference Place | Omaha, NE, United states |
| Indexed Type | ei |
| Publish Place | United States |
| ISSN | 15504786 |
| ISBN | 769530192 |
| Department | (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 |
| English Abstract | 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 |
| Keyword | 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 |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/10902 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 04476670.pdf（290KB） | 开放获取 | -- | Application Full Text | |||
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