期刊文献+

浅议聚类分析方法 被引量:5

Discussion on the Method of Cluster Analysis
下载PDF
导出
摘要 在简要介绍传统聚类算法的基础上,归纳了目前出现的新的聚类算法,并指出了聚类算法今后的发展方向。 On the basis of brief introduction of the traditional clustering algorithm, this paper summarized the new clustering algorithm,and pointed out the future development direction of clustering algorithm.
作者 伍育红
出处 《计算机科学》 CSCD 北大核心 2012年第B06期325-327,共3页 Computer Science
关键词 粒度 模糊 量子聚类 Swarm Particle size Fuzzy Quantum clustering
  • 相关文献

参考文献10

  • 1马刚,李志刚.数据仓库与数据挖掘的原理及应用[M].北京:高等教育出版社,2008.
  • 2郭子龙,王孙安.免疫进化模糊聚类算法在边缘检测中的应用[J].西安交通大学学报,2004,38(3):274-277. 被引量:9
  • 3Chen Y, Tu L. Density-Based Clustering for Real-Time Stream Data[J]. ACMKDD, San Jose, California, USA, 2007 : 133-142.
  • 4曲福恒,等.浅议模糊网络结构聚类算法[J].吉林大学学报,2008:18-96.
  • 5孙玉芬.基于网格方法的聚类算法研究[J].华中科技大学,2006:62-104.
  • 6Han J,Kamber M. Data Mining:Concepts and Techniques [J]. Morgan Kaufmann Publishers, 2001: 33-82.
  • 7Chenm S, Han Jia-wei, Yup S. Datamining: an overview from a database perspective [J]. IEEE Trans on Knowledge and Data Eng, 1996: 886-883.
  • 8Han J,Kamber M. Data Mining: Concepts and Techniques [J]. Morgan Kaufmann Publishers, 2001.
  • 9Wei Yong-qing, Yang Ren-hua, Liu Pei-yu. An improved Apriori algorithm for association rules of mining[C]//Proc of IEEE International Symposium on IT in Medicine &Education. Beijing: IEEE Press, 2009: 942-946.
  • 10黄名选,严小卫,张师超.基于矩阵加权关联规则挖掘的伪相关反馈查询扩展[J].软件学报,2009,20(7):1854-1865. 被引量:70

二级参考文献7

共引文献79

同被引文献52

  • 1孔晓波.物联网概念和演进路径[J].电信工程技术与标准化,2009,22(12):12-14. 被引量:154
  • 2纪崑,郑文瑞.多维多目标模糊优选动态规划及其在资源分配中的应用[J].模糊系统与数学,2006,20(2):103-108. 被引量:5
  • 3王中兴,李桥兴.依据主、客观权重集成最终权重的一种方法[J].应用数学与计算数学学报,2006,20(1):87-92. 被引量:35
  • 4Sharma A,Srinivasan S,Lake L W.Classification of Oil and Gas Reservoirs Based on Recovery Factor:A Data-Mining Approach[C] //SPE.2010.
  • 5Niu Xin-sheng,Lei Ming,Fu Lei,et al.A combined weighting method for power system restoration decision making[C] // 2011 Seventh International Conference on Natural Computation.2011,3:1223-1227.
  • 6Huang Zhen-ping,Liu Ke-lin,Li Jing.Combination weight fuzzy recognition model and its application in the assessment of water resource renew ability[J].Computer Application and System Modeling,2010,15:256-259.
  • 7Zhou Yong,Xia Shi-xiong.A Novel Clustering Algorithm Based on Hierarchical and K-means Clustering[C] //Control Conference,2007:605-609.
  • 8Saunders D G O,Win J,Liliana M,et al.Cano,Using Hierarchical Clustering of Secreted Protein Families to Classify and Rank Candidate Effectors of Rust Fungi[J].PLOS ONE,2012,7 (1):1-6.
  • 9Killoran JB. How to use search engine optimization techniques to increase website visibility. IEEE Trans. on Professional Communication, 2013, 56(1): 50--66.
  • 10Beel J, Gipp B, Wilde E. Academic search engine optimization. Journal of Scholarly Publishing, 2010, 41(2): 176-190.

引证文献5

二级引证文献16

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