Title :
Study on fabric drape evaluation based on Fuzzy Possibilistic C-Means Clustering
Author_Institution :
Sch. of Electr. Eng., Beijing Tiaotonng Univ., Beijing, China
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975618
