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聚类分布式传感器数据流Clustering Distributed Sensor Data Streams |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_rodrigues_cdsd/ |
| 主讲教师: | Pedro Pereira Rodrigues; Joao Gama; Luis Lopes |
| 开课单位: | 波尔图大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this work we study the problem of continuously maintain a cluster structure over the data points generated by a sensor network. We propose DGClust, a new distributed algorithm which reduces both the dimensionality and the communication burdens, by allowing each local sensor to keep an online discretization of its data stream. Each new data point triggers a cell in this univariate grid, reflecting the current state of the data stream at the local site. Whenever a local site changes its state, it notifies the central server about the new state it is in. The central site keeps a small list of counters of the most frequent global states. A simple adaptive partitional clustering algorithm is applied to the frequent states central points, providing an anytime definition of the clusters centers. The approach is evaluated in the context of distributed sensor networks, presenting empirical and theoretical evidence of its advantages. |
| 关 键 词: | 机器学习; 传感器; 数据流; 算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-05：cwx |
| 阅读次数: | 37 |