图 书 馆
谱聚类算法Spectral Clustering |
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| 课程网址: | http://videolectures.net/mlcued08_azran_mcl/ |
| 主讲教师: | Arik Azran |
| 开课单位: | 剑桥大学 |
| 开课时间: | 2008-03-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | **Machine Learning Tutorial Lecture** Spectral clustering is a technique for finding group structure in data. It is based on viewing the data points as nodes of a connected graph and clusters are found by partitioning this graph, based on its spectral decomposition, into subgraphs that posses some desirable properties. My plan for this talk is to give a review of the main spectral clustering algorithms, demonstrate their abilities and limitations and offer some insight into when the method can be expected to be successful. No previous knowledge is assumed, and anyone who is interested in clustering (or fun applications of linear algebra) might find this talk interesting. |
| 关 键 词: | 谱聚类算法; 通图; 分区图; 线性代数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-03：wuyq |
| 阅读次数: | 64 |