cluster analysis and optimization in color-based clustering for image abstract
文献类型：会议论文
| 作者 | He Jing ; Huang Guangyan ; Zhang Yanchun ; Shi Yong |
| 出版日期 | 2007 |
| 会议名称 | 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007 |
| 会议日期 | 40844 |
| 会议地点 | Omaha, NE, United states |
| 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 |
| 页码 | 213-218 |
| 英文摘要 | 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 |
| 收录类别 | EI |
| 会议录 | Proceedings - IEEE International Conference on Data Mining, ICDM
 |
| 会议录出版地 | United States |
| 语种 | 英语 |
| ISSN号 | 15504786 |
| ISBN号 | 769530192 |
| 源URL | [http://124.16.136.157/handle/311060/10902]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007. Omaha, NE, United states. 40844. |
入库方式： OAI收割
来源：软件研究所
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