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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2012-05-01
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Series: | Tongxin xuebao |
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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 |