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可视化数据流的集群结构

Visualising the Cluster Structure of Data Streams
课程网址: http://videolectures.net/ida07_tasoulis_vtcs/  
主讲教师: Dimitris K. Tasoulis
开课单位: 帝国理工学院
开课时间: 2007-10-08
课程语种: 英语
中文简介:
流数据的日益增加的可用性是数据采集技术不断发展的结果。这些数据为各种数据分析社区带来了新的挑战。群集长期以来一直是从数据中获取知识的基本过程,并且正在出现允许数据流聚类的新工具。然而,流数据的动态时间组件为流聚类和相关可视化技术的开发提供了额外的挑战。在这项工作中,我们将流式聚类框架与静态聚类可视化方法的扩展相结合,以构建一个以图形方式表示数据流的聚类结构的表面。所提出的方法OpticsStream提供了聚类结构的直观表示以及该结构随时间变化的方式。
课程简介: The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data analysis communities. Clustering has long been a fundamental procedure for acquiring knowledge from data, and new tools are emerging that allow the clustering of data streams. However the dynamic, temporal components of streaming data provide extra challenges to the development of stream clustering and associated visualisation techniques. In this work we combine a streaming clustering framework with an extension of a static cluster visualisation method, in order to construct a surface that graphically represents the clustering structure of the data stream. The proposed method, OpticsStream, provides intuitive representations of the clustering structure as well as the manner in which this structure changes through time.
关 键 词: 流数据; 数据采集技术; 动态时间组件
课程来源: 视频讲座网
最后编审: 2020-01-16:chenxin
阅读次数: 53