Complex network clustering algorithm based on Jordan-form of Laplace-matrix

Among existing clustering algorithms,the graph-Laplacian-based spectrum clustering algorithm has rigorous theoretical basis and high accuracy.However,the application of this algorithm is limited by its dependence on the prior knowledge,such as the number and the size of clusters.Based on the Jordan...

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Main Authors: Jian-wei NIU, Bin DAI, Chao TONG, Guan-ying HUO, Jing PENG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-03-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.03.002/
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author Jian-wei NIU
Bin DAI
Chao TONG
Guan-ying HUO
Jing PENG
author_facet Jian-wei NIU
Bin DAI
Chao TONG
Guan-ying HUO
Jing PENG
author_sort Jian-wei NIU
collection DOAJ
description Among existing clustering algorithms,the graph-Laplacian-based spectrum clustering algorithm has rigorous theoretical basis and high accuracy.However,the application of this algorithm is limited by its dependence on the prior knowledge,such as the number and the size of clusters.Based on the Jordan form of graph Laplacian,an algorithm was proposed which can obtain the prior knowledge,and perform the primary clustering based on the eigenvalues of the Jordan form.The modularity density function of clusters was defined,and an improved spectrum clustering algorithm with the help of the function and the primary clustering was proposed.The experiments were conducted on diverse datasets showing that,compared with the classic algorithms such as Fast-Newman and Girvan-Newman,the algorithm can reach a high clustering accuracy and a fast convergence rate.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2014-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-bc2f14497282426a8a1d24f2c27a74f62025-01-14T06:42:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-03-0135112159679941Complex network clustering algorithm based on Jordan-form of Laplace-matrixJian-wei NIUBin DAIChao TONGGuan-ying HUOJing PENGAmong existing clustering algorithms,the graph-Laplacian-based spectrum clustering algorithm has rigorous theoretical basis and high accuracy.However,the application of this algorithm is limited by its dependence on the prior knowledge,such as the number and the size of clusters.Based on the Jordan form of graph Laplacian,an algorithm was proposed which can obtain the prior knowledge,and perform the primary clustering based on the eigenvalues of the Jordan form.The modularity density function of clusters was defined,and an improved spectrum clustering algorithm with the help of the function and the primary clustering was proposed.The experiments were conducted on diverse datasets showing that,compared with the classic algorithms such as Fast-Newman and Girvan-Newman,the algorithm can reach a high clustering accuracy and a fast convergence rate.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.03.002/complex networkclustering algorithmLaplace-matrixJordan-formprior knowledge
spellingShingle Jian-wei NIU
Bin DAI
Chao TONG
Guan-ying HUO
Jing PENG
Complex network clustering algorithm based on Jordan-form of Laplace-matrix
Tongxin xuebao
complex network
clustering algorithm
Laplace-matrix
Jordan-form
prior knowledge
title Complex network clustering algorithm based on Jordan-form of Laplace-matrix
title_full Complex network clustering algorithm based on Jordan-form of Laplace-matrix
title_fullStr Complex network clustering algorithm based on Jordan-form of Laplace-matrix
title_full_unstemmed Complex network clustering algorithm based on Jordan-form of Laplace-matrix
title_short Complex network clustering algorithm based on Jordan-form of Laplace-matrix
title_sort complex network clustering algorithm based on jordan form of laplace matrix
topic complex network
clustering algorithm
Laplace-matrix
Jordan-form
prior knowledge
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.03.002/
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