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蚂蚁算法建立度限制树在聚类中的应用 被引量:1

Degree-constrained tree basing on ant algorithm for clustering analysis
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摘要 针对聚类算法解决大规模数据时间复杂度和空间复杂度都很大的问题,给出了应用蚂蚁算法建立度限制树,同时结合密度思想来解决这一问题的算法.经过数据的测试和验证,得到了较好的结果和一系列有意义的结论. This text solves extensive data time complexity and space complexity which is a heavy problem to cluster algorithm, and it uses ant algorithm to set up degree-constraint tree, combining density to solve the problem of this algorithm at the same time. Compared with verification, and other algorithms, it receives better results and a series of meaningful conclusions through the test of data.
出处 《天津理工学院学报》 2004年第1期18-19,23,共3页 Journal of Tianjin Institute of Technology
基金 河北省自然科学基金资助项目(601055)
关键词 蚂蚁算法 度限制树 密度思想 聚类算法 运筹学 cluster the degree-constraint tree ant algorithm
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  • 1HanJiawei MichelineKambe.数据挖掘概念与技术[M].北京:机械工业出版社,2001..
  • 2Alsabti K,Ranka S,Singh V. An efficient k-means clustering algorithm. In:Proc. of the First Workshop on High Performance Data Mining, Orlando, FL, March 1998
  • 3Deneubourg J L,Goss S,Franks N,et al. The dynamics of collective sorting: Robot-like ants and ant-like robots. In: J -A Meyer and S Wilson, eds. Proc. of the First Intl. Conf. on Simulation of Adaptive Behaviour: From Animals to Animats 1, MIT Press,Cambridge, MA,1991. 356~365
  • 4Lumer E D,Faieta B. Diversity and Adaptation in Populations of Clustering Ants. In:Cliff D,Husbands P,Meyer J. Wilson S,eds.From Animals to Animats 3, Proc. of the 3rd Int. Conf. on the Simulation of Adaptive Behavior. Cambridge, MA: The MIT Press/Bradford Books, 1994
  • 5Handl J,Knowles J,Dorigo M. Ant-based Clustering: A Comparative study of its relative importance with respect to k-means, average link and 1D-SOM: [Technical Report TR/IRIDIA/2003-24]. Universite Libre de Bruxelles ,2003
  • 6Kuntz P, Snyers D. Emergent colonization and graph partitioning. In: Proc. of the third Intl. Conf. on Simulation of Adaptive Behavior: From Animals to Animats 3 (SAB 94), D. Cliff, P. Husbands, J.A. Meyer, S W Wilson,eds. MIT Press,1994. 494~50
  • 7Monmarch'e N, Slimane M,Venturini G. On improving clustering in numerical databases with artificial ants. In: Lecture Notes in Artificial Intelligence, D Floreano J D Nicoud, F Mondala, eds.Swiss Federal Institute of Technology, Lausanne, Switzerland,(13-17 September 1999). Springer-Verlag,1999. 626~635
  • 8Hawkins D. Identification of Outliers. London: Chapman and Hall, 1980
  • 9吴斌,郑毅,傅伟鹏,史忠植.一种基于群体智能的客户行为分析算法[J].计算机学报,2003,26(8):913-918. 被引量:46
  • 10高尚,杨静宇,吴小俊.聚类问题的蚁群算法[J].计算机工程与应用,2004,40(8):90-91. 被引量:27

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