期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于模糊聚类算法的有效性指标 被引量：3

Study on Some Validity Measures for Fuzzy Clustering
下载PDF
导出
摘要 基于硬聚类算法的几种有效性指标,即Hubert统计量、Davies-Bouldin指标、Dunn's指标以及Dunn's指标的推广,提出了相应的适用于模糊聚类算法的有效性指标.实验证明,这些改进的有效性函数对模糊C-均值算法而言同样有效. The paper presents some fuzzy validity criteria based on well-known hard clustering validation methods： Hubert statistic, Davies- Bouldin index, Dunn＇s index, and several generalizations of an index due to Dunn. The numerical experiments show that these modified validity functions are efficient for fuzzy clustering.
作者 白素琴 吴小俊
机构地区 江苏科技大学电子信息学院 江南大学信息工程学院
出处 《江南大学学报（自然科学版）》 CAS 2007年第6期878-882,共5页 Joural of Jiangnan University (Natural Science Edition)　
关键词 聚类有效性 模糊C均值 Hubert统计量 Davies—Bouldin指标 Dunn's指标 cluster validity fuzzy c-means hubert statisties avies-bouldin index dunn＇s index
分类号 O159 [理学—基础数学]
  • 相关文献

参考文献8

  • 1Dunn J C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters[J]. J Cybern,1973, 3(3) :32-57.
  • 2Cannon R, Dave J, Bezdek J C. Efficient implementation of the fuzzy c-means clustering algorithms[J]. IEEE Trans Pattern Anal Machine Intelligence, 1986,8 : 248-255.
  • 3Kwon S H. Cluster validity index for fuzzy clustering[J]. Electronics Letters, 1998,34 (22) : 2176-2177.
  • 4安中华,安琼.模糊聚类的有效性研究[J].湖北大学学报（自然科学版）,2006,28(3):222-226. 被引量：11
  • 5洪志令 ,姜青山 ,董槐林 ,Wang Sheng-Rui .模糊聚类中判别聚类有效性的新指标[J].计算机科学,2004,31(10):121-125. 被引量：15
  • 6Hubert L J, Arabie P. Comparing partitions[J]. J Classification, 1985,2:193-218.
  • 7Davies D L, Bouldin D W. A cluster separation measure[J]. IEEE Trans Pattern Anal Machine Intell, 1979,1(4):224-227.
  • 8Dunn J C. Well separated clusters and optimal fuzzy partitions[J]. J Cybern, 1974, 4:95-104.

二级参考文献17

  • 1刘兴久.模糊聚类分析在土壤分类中的应用[J].东北农学院学报,1988,19(2):12-126.
  • 2Gonzalez T. Clustering to Minimize and Maximum Intercluster Distance. Theoretical Computer Science, 1985,38: 293 - 306
  • 3Pal N R,Bezdek J C. On Cluster Validity for the Fuzzy C-Mean Model. IEEE Transactions on Fuzzy Systems [J], 1995. 370-390
  • 4Xie X, Beni G. A Validity Measure for Fuzzy Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) ,1991, 13(8) :841-847
  • 5Bensaid A M. Validity-Guided (Re) Clustering with Applications to Image Segmentation. IEEE Transactions on Fuzzy Systems,1996,4(2)
  • 6Kwon S H. Cluster validity index for fuzzy clustering. ELECTRONICS LETTERS, 1998,34(22) :2176-2177
  • 7Zahid N,Limouri M,Essaid A. A New cluster-validity for fuzzy clustering. Pattern Recognition Letters, 1999,32:1089- 1097
  • 8Sun H,Wang S,Jiang Q. A New Validation Index for Determining the Number of Clusters in a Data Set. IJCNN'01, Washington DC, July 2001.14-19
  • 9Sun H, Wang S,Jiang Q. FCM-Based Model Selection Algorithms for Determining the Number of Cluster. By Pattern Recognition,2003
  • 10Bezdek J C. Chapter F6: Pattern Recognition in Handbook of Fuzzy computation. IOP Publishing Ltd, 1998

共引文献24

同被引文献28

  • 1蔡佳宏,刘俊勇.超短期负荷预测中相似日的选择方法[J].华北电力大学学报（自然科学版）,2006,33(1):38-41. 被引量：21
  • 2贺玲,吴玲达,蔡益朝.数据挖掘中的聚类算法综述[J].计算机应用研究,2007,24(1):10-13. 被引量：228
  • 3普运伟,金炜东,朱明,胡来招.核模糊C均值算法的聚类有效性研究[J].计算机科学,2007,34(2):207-210. 被引量：28
  • 4Yi W B, Tang H, Chen Y H. An object-oriented se- mantic clustering algorithm for High-resolution remote sensing images using the aspect model [ J]. IEEE Geo- science ang Remote Sensing Letters, 2011, 8 (03): 522 - 526.
  • 5I-Iofmann T. Unsupervised learning by probabilistic la- tent semantic analysis [J]. Machine Learning, 2001, 42 (2) : 177 - 196.
  • 6孙吉贵,刘杰,赵连宇.聚类算法研究[J].软件学报,2008(1):48-61. 被引量：1079
  • 7Bezdek JC. Fuzzy mathematics in pattern classification[Ph.D. Dissertation]. Ithaca, NY: Comell University, 1973.
  • 8Bouguessa M, Wang SR. A new efficient validity index for fuzzy clustering. Proc. Third Intemat. Conf. on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004.
  • 9Trauwaert E. On the meaning of Dunn's partition coefficient for fuzzy clusters. Fuzzy Sets and Systems, 1988, 25: 217- 242.
  • 10Dave RN. Validating fuzzy partition obtained through c-shells clustering, Pattern Recognition Lett., 1996, 17:613-623.

引证文献3

二级引证文献16

江南大学学报（自然科学版）
2007年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部