Study on Fabric Drape Evaluation based on Fuzzy Possibilistic C-Means Clustering

被引：0
|
作者：
LiHui [1 ]
机构：
[1] Beijing Tiaotonng Univ, Sch Elect Engn, Beijing, Peoples R China
来源：
2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2011年
关键词：
drape; fuzzy cluster; noisy point; evaluation; Fuzzy Possibilistic C-Means Clustering(FPCM);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, drape property measured values are classified into 5 grades based on FPCM(Fuzzy Possibilistic C-Means Clustering), which resolves problem of the noise point's impact on clustering center that cannot be done in FCM(Fuzzy C-Means Clustering). It restrains the errors caused by all kinds of unfavorable factors, and then clustering center is more precise. By testing 124 fabric samples, it is verified that analysis of FPCM clustering and subjective evaluation are well consistent.
引用
收藏
页码：407 / 412
页数：6
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