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Research and application on improved fuzzy clustering algorithm

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成果类型:
期刊论文
作者:
Yang, Wei;Duan, Jiannan*;Liu, Yi;He, Xiao;Wang, Haiyan;...
通讯作者:
Duan, Jiannan
作者机构:
[Yang, Wei; Wang, Haiyan; Duan, Jiannan; Liu, Yanni; He, Xiao; Liu, Yi] College of Resource and Environment, Hunan Agriculture University, Changsha, 410128, China
通讯机构:
College of Resource and Environment, Hunan Agriculture University, Changsha, China
语种:
英文
关键词:
Feature Classification;Fuzzy Clustering;Neural Network;Robustness
期刊:
Journal of Computational and Theoretical Nanoscience
ISSN:
1546-1955
年:
2016
卷:
13
期:
7
页码:
4362-4367
机构署名:
本校为第一且通讯机构
院系归属:
资源环境学院
摘要:
Clustering problem contains pattern recognition, feature extraction and many other mathematical algorithms, which is widely applied in statistics and industrial field. With the increase in data dimension, traditional clustering method cannot meet the actual needs, so the combination of fuzzy mathematics and neural networks is introduced into cluster theory, which can perfectly solve the complex issues like high dimension, large data volume and relative factors' self-coupling. This paper studies BP fuzzy clustering algorithm, classifies phonetic features based on this algorithm and obtains a cl...

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