Study on fabric drape evaluation based on Fuzzy Possibilistic C-Means Clustering

Author

Hui, Li

Author_Institution

Sch. of Electr. Eng., Beijing Tiaotonng Univ., Beijing, China

fYear

2011

fDate

21-23 June 2011

Firstpage

407

Lastpage

412

Abstract

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.

Keywords

fabrics; fuzzy set theory; pattern clustering; possibility theory; production engineering computing; FCM; FPCM clustering; clustering center; drape property measured values; fabric drape evaluation; fuzzy c-means clustering; fuzzy possibilistic c-means clustering; noise point impact; subjective evaluation; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Conferences; Fabrics; Morphology; Noise; Fuzzy Possibilistic C-Means Clustering(FPCM); drape; evaluation; fuzzy cluster; noisy point;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on

Conference_Location

Beijing

ISSN

pending

Print_ISBN

978-1-4244-8754-7

Electronic_ISBN

pending

Type

conf

DOI

10.1109/ICIEA.2011.5975618

Filename

5975618