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·50· 智能系统学报 第3卷 sification of gene expression data [J].J Bioinformatics [12]RAND W.Objective criteria for the evaluation of clus- and Computational Biology,2006,4(3):745-768. tering methods[J ]Journal of the American Statistical [4]ZHANG YJ,LIU Z Q.Self-splitting competitive learn- Association,1971,66(336):846850. ing:a new orrline clustering paradigm [J].IEEE Trans [13 ]Available on http :/kdd.ics.uci.edu.databases/ on Neural Network,2002,13(2):369-380. 20newsgroups/20newsgroups.html. [5]WU S H,LIEW W C,YAN H,et al.Cluster analysis [14 ]Available on ftp:/www.cs.umn.edu/~karypis/CLU- of gene expression data based on self-splitting and mer- TO/flies/datasets.tar.gz. ging competitive learning [J].IEEE Trans on Informa- [15]Mow:A toolkit for statistical language modeling,text tion Technology in Biomedicine,2004,8(1):5-15. retrieval,classification and clustering Available on ht- [6]XU L,KRZYA KA,OJA E.Rival penalized competitive tp //www.cs.cmu.edu/mccallum/bow. learning for clustering analysis,RBF net and curve de- 作者简介: tection [J ]IEEE Trans on Neural Network,1993,4 朱林,男,1983年生,硕士研究生,主要 (4):636649. 研究方向为图像处理模式识别. [7]魏立梅,谢维信,对手抑制式模糊C均值算法U].电子 学报,2000,28(7):6366. WEI Limei,XIE Weixin.Rival checked fuzzy C-means algorithm [J].Acta Electronica Sinica,2000,28(7): 63-66. [8]TAN P N.MICHAEL S,KUMAR V.Introduction to 王士同,男,1964年生,教授,博士生导 data mining [M].Boston:Addison Wesley,2005. 师,中国计算机学会高级会员,主要研究方向 [9]姜宁,宫秀军,史忠植.高维特征空间中文本聚类研究 为人工智能、模式识别、数据挖掘、神经网络 U].计算机工程与应用,2002,38(10):6367 及生物信息学 JIANG Ning,GONG Xiujun,SHI Zhongzhi.Text clus- tering in highrdimension feature space[J].Computer En gineering and Applications,2002,38(10):63-67. [10]AL EXANDER S,JO YDEEP G.Cluster ensembles-a 修字,男,1976年生,硕士研究生,主要 knowledge reuse framework for combining partitions 研究方向为模式识别、数据挖掘 [J].Journal of Machine Learning Research,2002,3 (3):583-617. [11]MA KOTO I,TA KENOBU T.Hierarchical Bayesian clustering for automatic text classification[R].Depart- ment of Computer Science,Tokyo Institute of Technolo- gy,1995. 1994-2009 China Academic Journal Electronic Publishing House.All rights reserved.http://www.cnki.netsification of gene expression data [J ]. J Bioinformatics and Computational Biology , 2006 , 4 (3) :7452768. [4 ]ZHAN G Y J , L IU Z Q. Self2splitting competitive learn2 ing : a new on2line clustering paradigm [J ]. IEEE Trans on Neural Network , 2002 , 13 (2) :3692380. [5 ]WU S H , L IEW W C , YAN H , et al. Cluster analysis of gene expression data based on self2splitting and mer2 ging competitive learning [J ]. IEEE Trans on Informa2 tion Technology in Biomedicine , 2004 , 8 (1) :5215. [6 ]XU L , KRZYA K A , OJ A E. Rival penalized competitive learning for clustering analysis , RBF net and curve de2 tection [J ]. IEEE Trans on Neural Network , 1993 , 4 (4) :6362649. [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) :63266. WEI Limei , XIE Weixin. Rival checked fuzzy C2means algorithm [J ]. Acta Electronica Sinica , 2000 , 28 ( 7) : 63266. [8 ] TAN P N. MICHAEL S , KUMAR V. Introduction to data mining [ M]. Boston : 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) :63267. J IAN G Ning , GON G Xiujun , SHI Zhongzhi. Text clus2 tering in high2dimension feature space[J ]. Computer En2 gineering and Applications , 2002 , 38 (10) : 63267. [10 ] AL EXANDER S , JO YDEEP G. Cluster ensembles2a knowledge reuse framework for combining partitions [J ]. Journal of Machine Learning Research , 2002 , 3 (3) :5832617. [11 ] MA KO TO I , TA KENOBU T. Hierarchical Bayesian clustering for automatic text classification[ R]. Depart2 ment of Computer Science ,Tokyo Institute of Technolo2 gy , 1995. [12 ]RAND W. Objective criteria for the evaluation of clus2 tering methods[J ]. Journal of the American Statistical Association , 1971 , 66 (336) :8462850. [13 ]Available on http :/ / kdd. ics. uci. edu. / databases/ 20newsgroups/ 20newsgroup s. html. [14 ]Available on ftp :/ / www. cs. umn. edu/ ~karypis/ CLU2 TO/ flies/ datasets. tar. gz. [15 ]Mow : A toolkit for statistical language modeling , text retrieval , classification and clustering Available on ht2 tp :/ / www. cs. cmu. edu/ mccallum/ bow. 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. ·50 · 智 能 系 统 学 报 第 3 卷
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