Local density-based similarity matrix construction for spectral clustering

According to local and global consistency characterist points'distribution, a spectral cluster-ing algorithm using local density-based similarity matrix construction was proposed. Firstly, by analyzing distribution characteristics of sample data points, the definition of local density was given...

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Bibliographic Details
Main Authors: Jian WU, Zhi-ming CUI, Yu-jie SHI, Sheng-li SHENG, Sheng-rong GONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.03.003/
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