Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Science & Technology Vision》 2014-06
Add to Favorite Get Latest Update

A Clustering Ensemble approach based on the similar ities in 2- mode social networ ks

SU Bao-ping;ZHANG Meng-jie;School of Science,Tianjin University of Technology and Education;  
For a particular clustering problems, selecting the best clustering method is a challenging problem.Research suggests that integrate the multiple clustering can improve the accuracy of clustering ensemble greatly. A new clustering ensemble approach based on the similarities in 2-mode networks is proposed in this paper. First of all, the data object and the initial clustering clusters transform into 2-mode networks, then using the similarities in 2-mode networks to calculate the similarity between different clusters iteratively to refine the adjacency matrix, K-means algorithm is finally used to get the final clustering, then obtain the final clustering results.The method effectively use the similarity between different clusters,example shows the feasibility of this method.
【CateGory Index】: TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 YANG Cao-yuan LIU Da-you YANG Bo CHI Shu-zhen JIN Di(College of Computer Science and Technology,Jilin University,Changchun 130012,China)(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012,China);Research on Cluster Aggregation Approaches[J];Computer Science;2011-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 HUANG Hongyan, HU Jichao Department of Information Engineering, Shijiazhuang University of Economics, Shijiazhuang 050031, China;Application of subspace clustering in intrusion feature selection[J];Computer Engineering and Applications;2012-08
2 BAI Lin(Dept.of Computer Science & Technology,Xi'an Institute of Post & Telecommunications,Xi'an 710121,China);Immunodominance-based Clonal Network Clustering Algorithm for Intrusion Detection[J];Computer Science;2012-07
3 Lin Zhiqing(Modern Education Technology Center,Fuzhou University,Fuzhou 350002,China);A particle swarm optimiser(PSO) clustering algorithm for determining the number of clusters[J];Journal of Fujian University of Technology;2011-06
4 Wang Liang(School of Internet of Things Engineering Jiangnan University Jiangsu Wuxi 214122);A Fuzzy Weighting Soft Subspace Clustering[J];;2011-11
5 ZHANG Yanping,JIANG Qingshan School of Software,Xiamen University,Xiamen,Fujian 361005,China;A k-means-based Algorithm for Soft Subspace Clustering[J];Journal of Frontiers of Computer Science & Technology;2010-11
6 WANG Jun,WANG Shi-tong,DENG Zhao-hong(School of Digital Media,Jiangnan University,Wuxi 214122,China.);Survey on challenges in clustering analysis research[J];Control and Decision;2012-03
7 WANG Xiao-shuai QIN Hua DING Li-duo MA Pian-pian(Dept.of Computer and Electronics Information,Guangxi University,Nanning 530004,China);Particle Swarm Optimization for Subspace Clustering Identify Tag Redundancy in Folksonomy[J];Computer Science;2012-S1
8 JIANG Yi-Zhang1 DENG Zhao-Hong1 WANG Shi-Tong1 1.School of Digital Media,Jiangnan University,Wuxi 214122;Mamdani-Larsen Type Transfer Learning Fuzzy System[J];Acta Automatica Sinica;2012-09
9 LIU Bin-xiang,JIA Jian-hua,TANG Ke-zong,XU Xing ( Institute of Information Engineering School of Jindezheng Ceramics,Jindezheng 333403,P. R. China);Resampling-based Spectral Clustering Ensemble Selection[J];Science Technology and Engineering;2013-19
10 JI Su-qin;SHI Hong-bo;School of Information Management,Shanxi University of Finance & Economics;;K-means Clustering Ensemble Based on MapReduce[J];Computer Engineering;2013-09
China Proceedings of conference Full-text Database 1 Hits
1 ZHANG Yanping,JIANG Qingshan~+ School of Software,Xiamen University,Xiamen,Fujian 361005,China;A k-means-based Algorithm for Soft Subspace Clustering[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 6 Hits
1 YANG Lin-yun ZHOU Hai-jing ZHUO Qing WANG Wen-yuan(Department of Automation,Tsinghua University,Beijing 100084,China);Weighted Cluster Ensemble Based on Significance of Attribute[J];Computer Science;2009-04
2 LUO Hui-Lan1),2) KONG Fan-Sheng1) LI Yi-Xiao1)1)(Institute of Artificial Intelligence, Zhejiang University, Hangzhou 310027) 2)(School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000);An Analysis of Diversity Measures in Clustering Ensembles[J];Chinese Journal of Computers;2007-08
3 YANG Lin-yun,WANG Wen-yuan(Dept.of Automation,Tsinghua University,Beijing 100084,China);Clustering Ensemble Approaches: An Overview[J];Application Research of Computers;2005-12
4 TANG Wei, ZHOU Zhi-Hua+ (National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China);Bagging-Based Selective Clusterer Ensemble[J];Journal of Software;2005-04
5 SUN Ji-Gui1,2, LIU Jie1,2, ZHAO Lian-Yu1,2 1(College of Computer Science and Technology, Jilin University, Changchun 130012, China) 2(Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Changchun 130012, China);Clustering Algorithms Research[J];Journal of Software;2008-01
6 WANG Hong-Jun, LI Zhi-Shu, CHENG Yang, ZHOU Peng, ZHOU Wei(School of Computer Science, Sichuan University, Chengdu 610054, China);A Latent Variable Model for Cluster Ensemble[J];Journal of Software;2009-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved