[1]朱? 林,王士同,修? 宇.鲁棒的模糊方向相似性聚类算法[J].智能系统学报,2008,3(1):43-50.
 ZHU Lin,WANG Shi-tong,XIU Yu.A robust clustering algorithm with fuzzy directional similarity[J].CAAI Transactions on Intelligent Systems,2008,3(1):43-50.
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鲁棒的模糊方向相似性聚类算法

参考文献/References:
[1]DHILLON I S, MODHA D S. Concept decompositions for large sparse tex t data using clustering [J]. Machine Learning, 2001, 42(1):143175.
[2]BANERJEE A, DHILLON I S, GHOST J, et al. Generative model based clusteri ng of directional data[C]// Conference on Knowledge Discovery in Data. W as hington, DC, 2003.
[3]LI H X, WANG S T, XIU Y. Applying robust directional similarity based cl ustering approach RDSC to classification of gene expression data [J]. J Bioinf ormatics and Computational Biology, 2006, 4(3):745768.
[4]ZHANG Y J, LIU Z Q. Selfsplitting competitive learning: a new online c lustering paradigm [J]. IEEE Trans on Neural Network, 2002, 13(2):369380.
[5]WU S H, LIEW W C, YAN H, et al. Cluster analysis of gene expression data based on selfsplitting and merging competitive learning [J]. IEEE Trans on Information Technology in Biomedicine, 2004, 8(1):515.
[6]XU L, KRZYAK A, OJA E. Rival penalized competitive learning for clusteri ng analysis, RBF net and curve detection [J]. IEEE Trans on Neural Network, 19 93,4(4):636649.
[7]魏立梅, 谢维信. 对手抑制式模糊C均值算法[J]. 电子学报, 2000,28(7) :6366. 
WEI Limei, XIE Weixin. Rival checked fuzzy Cmeans algorithm [J]. Acta Electr onica Sinica, 2000, 28(7): 6366.
[8]TAN P N. MICHAEL S, KUMAR V. Introduction to data mining [M]. Bost on: Addison Wesley,2005.
[9]姜 宁, 宫秀军,史忠植. 高维特征空间中文本聚类研究[J]. 计算机工程与应用, 2002, 38(10):6367.
?JIANG Ning, GONG Xiujun, SHI Zhongzhi. Text clustering in highdimension featur e space[J]. Computer Engineering and Applications, 2002, 38(10): 6367.
[10]ALEXANDER S, JOYDEEP G. Cluster ensemblesa knowledge reuse fram e work for combining partitions [J]. Journal of Machine Learning Research, 2002, 3(3):583 617.
[11]MAKOTO I, TAKENOBU T. Hierarchical Bayesian clustering for automa tic text classification[R]. Department of Computer Science,Tokyo Institute of Technology, 1995.
[12]RAND W. Objective criteria for the evaluation of clustering m ethods [J]. Journal of the American Statistical Association, 1971, 66(336):846850.
?[13]Available on http://kdd.ics.uci.edu./databases/ 20newsgroups/20news groups.html.
[14]Available on ftp://www.cs.umn.edu/~karypis/CLUTO/flies/datasets.t ar.gz.
[15]Mow: A toolkit for statistical language modeling, text retrieval, classi fication and clustering Available on http://www.cs.cmu.edu/mccallum/bow.
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备注/Memo

收稿日期:2007-05-14.
基金项目:
国家“863”资助项目(2006AA10Z313);
国家自然科学基金资助项目(60773206;60704047);
国防应用基础研究基金资助项目(A142046 1266);
教育部科学研究重点基金资助项目(105087)
作者简介:
朱 林,男,1983年生,硕士研究生,主要研究方向为图像处理、模式识别.
王士同,男,1964年生,教授,博士生导师,中国计算机学会高级会员, 主要研究方向为人工智能、模式识别、数据挖掘、神经网络及生物信息学.
修 宇,男,1976年生,硕士研究生,主要研究方向为模式识别、数据挖掘.
通讯作者:王士同.E-mail:wxwangst@yahoo.com.cn.

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