[1]马宝萍.一种新的分级混合聚类法[J].南京师范大学学报(工程技术版),2003,03(01):022-25.
　Ma Baoping.A New Hierarchical Hybrid Clustering Method[J].Journal of Nanjing Normal University(Engineering and Technology),2003,03(01):022-25.
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一种新的分级混合聚类法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
03卷
期数:
2003年01期
页码:
022-25
栏目:
出版日期:
2003-03-30

文章信息/Info

Title:
A New Hierarchical Hybrid Clustering Method
作者:
马宝萍
南京师范大学控制科学与工程系 210042
Author(s):
Ma Baoping
Department of Control Science and Engineering, Nanjing Normal University, 210042, Nanjing, PRC
关键词:
聚类;  自组织神经网络;  熵
Keywords:
clustering;  sel-f organizing neural network;  entropy
分类号:
O235
摘要:
为了克服模糊聚类算法的不足 ,提出了一种新的分级混合聚法 ,利用自组织神经网络对数据初步进行特征提取 ,再利用基于熵的聚类算法进行聚类 ,从而既提高了聚类过程的效率 ,又保证了聚类结果的有效性 .
Abstract:
A new hierarchical hybrid clustering method is proposed to overcome the disadvantage of fuzzy clustering algorithm. By adopting the method, with the sel-f organizing network used to have the preliminary acquisition of the character of data, the data was then clustered by using an algorithm based on entropy. As a result, the efficiency and validity of clustering can be enhanced.

参考文献/References:

[ 1] Linkens D A, M Y Chen. Input selection and partition validation for fuzzy modeling using neural network[ J] . Fuzzy Sets and Systems,1999, 107( 3) : 299~ 308.
[ 2] Yao J, Dash M, Tan S T, et al. Entropy- based fuzzy clustering and fuzzy modeling[ J] . Fuzzy Sets and Systems, 2000, 113( 4) :381~ 388.
[ 3] Shimoji S, Lee S. Data clustering with entropical scheduling[ C] . Proceeding of IEEE Conference on Fuzzy Systems, 1994, 10: 2423~ 2428.
[ 4] Sugeno M, Yasukawa T. A fuzzy log ic based approach to qualitative modeling[ J] . IEEE Trans Fuzzy Systems, 1993, 1( 1) : 7~ 31.
[ 5] 马宝萍. 模糊建模与神经网络控制的研究及其在循环流化床锅炉中的应用[ D] . 东南大学, 2001.

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备注/Memo

备注/Memo:
作者简介: 马宝萍, 女, 1973- , 工学博士, 南京师范大学控制科学与工程系讲师, 主要研究方向为模糊建模与控制、神经网络.
更新日期/Last Update: 2013-04-29