图 书 馆
不一致意见的光谱聚类Spectral Clustering with Inconsistent Advice |
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| 课程网址: | http://videolectures.net/icml08_coleman_scwia/ |
| 主讲教师: | Tom Coleman |
| 开课单位: | 墨尔本大学 |
| 开课时间: | 2008-08-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Clustering with advice (often known as constrained clustering) has been a recent focus of the data mining community. Success has been achieved incorporating advice into the k-means framework, as well as spectral clustering. Although the theory community has explored inconsistent advice, it has not yet been incorporated into spectral clustering. Extending work of De Bie and Cristianini, we set out a framework for finding minimum normalized cuts, subject to inconsistent advice. Our results suggest that the framework will be successful in many situations. |
| 关 键 词: | 聚类; 数据挖掘; 标准化削减 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-18：cwx |
| 阅读次数: | 38 |