一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級(jí)搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復(fù)。謝謝您的支持!

姓名
郵箱
手機(jī)號(hào)碼
標(biāo)題
留言內(nèi)容
驗(yàn)證碼

遺傳+模糊C-均值混合聚類算法

陳金山,  韋崗

陳金山, 韋崗. 遺傳+模糊C-均值混合聚類算法[J]. 電子與信息學(xué)報(bào), 2002, 24(2): 210-215.
引用本文: 陳金山, 韋崗. 遺傳+模糊C-均值混合聚類算法[J]. 電子與信息學(xué)報(bào), 2002, 24(2): 210-215.
Chen Jinshan, Wei Gang. A hybrid clustering algorithm incorporating fuzzy C-means into canonical genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(2): 210-215.
Citation: Chen Jinshan, Wei Gang. A hybrid clustering algorithm incorporating fuzzy C-means into canonical genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(2): 210-215.

遺傳+模糊C-均值混合聚類算法

A hybrid clustering algorithm incorporating fuzzy C-means into canonical genetic algorithm

  • 摘要: 本文提出了一種新的結(jié)合遺傳算法(GA)和模糊C-均值算法(FCM)的混合聚類算法(HCA)。它通過對(duì)問題的解空間交替進(jìn)行全局和局部搜索,達(dá)到快速收斂至全局最優(yōu)解,較好地解決了GA在達(dá)到全局最優(yōu)解前收斂慢和FCM算法容易陷入局部極小的問題。三組不同分布類型的數(shù)據(jù)聚類實(shí)驗(yàn)表明,該算法具有較好的通用性和有效性。
    Abstract: A new Hybrid Clustering Algorithm (HCA) that incorporates the fuzzy C-means into the canonical genetic algorithm is proposed in this paper. The HCA speeds up convergence before the genetic algorithm reach the global optima, and eliminates fuzzy C-means trapped local minima by performing global search and local search alternatively. The experiments for clustering three data sets with different distributions show that the HCA has better generalization and effectiveness.
    • HTML全文
  • 高新波,謝維信,模糊聚類理論發(fā)展及應(yīng)用的研究進(jìn)展.科學(xué)通報(bào),1999,44(21),2241 2251[2]Wu Youshou, Ding Xiaoqing, A new clustering method for Chinese character recognition system using artificial neural networks, Chinese J. of Electronics, 1993, 2(3), 1-8.[3]J.C. Dunn, A fuzzy relative of the ISODATA process and its use in detecting compact wellseparated clusters, Journal of Cybernetics, 1973, 3(1), 32-57.[4]J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, New York, Plenum Press, 1981, 43-93.[5]J.C. Bezdek, R. Hathaway, M. Sabin, W. Tucker, Convergence theory for fuzzy C-means, Counterexample and repairs, IEEE Trans. on SMC, 1987, 17(5), 873-877.[6]S.L. Chiu, Fuzzy model identification based on cluster estimation, J. Intelligent and Fuzzy Syst.,1994, 2(3), 267-278.[7]D. Chaudhuri, B. B. Chaudhuri, A novel multiseed nonhierarchical data clustering technique,IEEE Trans. on SMC, 1997, 27(5), 871-877.[8]S.Z. Selim, K. Alsultan, A simulated annealing algorithm for the clustering problem, Pattern Recognition, 1991, 24(10), 1003-1008.[9]K.S. Asultan, S. Seltan, A global algorithm for the fuzzy clustering problem, Pattern Recognition,1993, 26(9), 1357-1361.[10]賀前華,韋崗,陸以勤,基因算法研究進(jìn)展,電子學(xué)報(bào),1998,26(10),118-122[11]潘正君,康立山,陳毓屏,演化計(jì)算,北京,清華大學(xué)出版社,1998,1-43[12]李強(qiáng),周濟(jì),連續(xù)解空間的復(fù)合遺傳算法,科學(xué)通報(bào),1998,43(24),2662-2668.[13]張青富,彭偉,吳少巖等,遺傳算法+正交設(shè)計(jì):一種新的全局優(yōu)化算法,第4屆中國人工智能聯(lián)合學(xué)術(shù)會(huì)議論文集,北京,清華大學(xué)出版社,1996,127-133.[14]G. Rudolph, Convergence analysis of canonical genetic algorithms, IEEE Trans. on NN, 1994,5(1), 96-101.
  • 加載中
計(jì)量
  • 文章訪問數(shù):  2351
  • HTML全文瀏覽量:  123
  • PDF下載量:  672
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2000-04-06
  • 修回日期:  2000-12-27
  • 刊出日期:  2002-02-19

目錄

    /

    返回文章
    返回