Mining characteristic clusters:a density estimation approach

A hierarchical structure extraction approach based on clustering was proposed,and a density esti-mation based on topological structure was designed.By conducting the hierarchical aggregation on layers of hierarchical structure,the characteristic of clusters could be measured.The empirical study cond...

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Main Authors: Yi HAN, Bin-xing FANG, Yan JIA, Bin ZHOU, Wei-hong AN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0038-11/
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author Yi HAN
Bin-xing FANG
Yan JIA
Bin ZHOU
Wei-hong AN
author_facet Yi HAN
Bin-xing FANG
Yan JIA
Bin ZHOU
Wei-hong AN
author_sort Yi HAN
collection DOAJ
description A hierarchical structure extraction approach based on clustering was proposed,and a density esti-mation based on topological structure was designed.By conducting the hierarchical aggregation on layers of hierarchical structure,the characteristic of clusters could be measured.The empirical study conducted on a large real data set indicates that the model and measures are interesting and meaningful,and the algorithms are effective and efficient in practice.
format Article
id doaj-art-bb387895e11640188f990e327529eda0
institution Kabale University
issn 1000-436X
language zho
publishDate 2012-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-bb387895e11640188f990e327529eda02025-01-14T06:31:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-05-0133384859661942Mining characteristic clusters:a density estimation approachYi HANBin-xing FANGYan JIABin ZHOUWei-hong ANA hierarchical structure extraction approach based on clustering was proposed,and a density esti-mation based on topological structure was designed.By conducting the hierarchical aggregation on layers of hierarchical structure,the characteristic of clusters could be measured.The empirical study conducted on a large real data set indicates that the model and measures are interesting and meaningful,and the algorithms are effective and efficient in practice.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0038-11/social networkcharacteristic clustersdata mining
spellingShingle Yi HAN
Bin-xing FANG
Yan JIA
Bin ZHOU
Wei-hong AN
Mining characteristic clusters:a density estimation approach
Tongxin xuebao
social network
characteristic clusters
data mining
title Mining characteristic clusters:a density estimation approach
title_full Mining characteristic clusters:a density estimation approach
title_fullStr Mining characteristic clusters:a density estimation approach
title_full_unstemmed Mining characteristic clusters:a density estimation approach
title_short Mining characteristic clusters:a density estimation approach
title_sort mining characteristic clusters a density estimation approach
topic social network
characteristic clusters
data mining
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)05-0038-11/
work_keys_str_mv AT yihan miningcharacteristicclustersadensityestimationapproach
AT binxingfang miningcharacteristicclustersadensityestimationapproach
AT yanjia miningcharacteristicclustersadensityestimationapproach
AT binzhou miningcharacteristicclustersadensityestimationapproach
AT weihongan miningcharacteristicclustersadensityestimationapproach