图 书 馆
数据流与亲和传播Data Streaming with Affinity Propagation |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_zhang_dswap/ |
| 主讲教师: | Cyril Furtlehner; Michèle Sebag; Xiangliang Zhang |
| 开课单位: | 巴黎第十一大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper proposed StrAP (Streaming AP), extending Affinity Propagation (AP) to data steaming. AP, a new clustering algorithm, extracts the data items, or exemplars, that best represent the dataset using a message passing method. Several steps are made to build StrAP. The first one (Weighted AP) extends AP to weighted items with no loss of generality. The second one (Hierarchical WAP) is concerned with reducing the quadratic AP complexity, by applying AP on data subsets and further applying Weighted AP on the exemplars extracted from all subsets. Finally StrAP extends Hierarchical WAP to deal with changes in the data distribution. Experiments on artificial datasets, on the Intrusion Detection benchmark (KDD99) and on a real-world problem, clustering the stream of jobs submitted to the EGEE grid system, provide a comparative validation of the approach. |
| 关 键 词: | 算法; 数据流; 样本; 加权 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-30：yumf |
| 阅读次数: | 163 |