Study of fuzzy weighting subspace clustering for streaming data

被引:0
|
作者
Zhu, Lin [1 ]
Lei, Jingsheng [1 ]
Bi, Zhongqin [1 ]
Xu, Feifei [1 ]
机构
[1] School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai , China
来源
关键词
Cluster analysis - Clustering algorithms;
D O I
10.12733/jcis11576
中图分类号
学科分类号
摘要
To address the problems for clustering high dimensional data, subspace clustering has attracted increasing attention in recent years. However, the existing subspace clustering methods cannot be effectively applied to large-scale high dimensional data and data streams. In this study, we extend the scalable clustering technique to subspace clustering to form a streaming soft subspace clustering. We propose a novel fuzzy weighting subspace clustering for streaming data, FWSC-SD. Experimental results demonstrate that FWSC-SD is generally effective in clustering for high dimensional streaming data. © 2014 by Binary Information Press
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页码:6305 / 6314
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