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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Main Authors: | Jian WU, Zhi-ming CUI, Yu-jie SHI, Sheng-li SHENG, Sheng-rong GONG |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2013-03-01
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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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