Remote classification of images using the new fuzzy clustering algorithm based on the weight

Remote classification of images using the new fuzzy clustering algorithm based on the weight

نوع فایل :PDFتعداد صفحات :۱۳
سال انتشار :۱۳۹۵
چکیده
Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of NW-FCM models for high-dimensional multiclass pattern recognition problems and its result has been compared with the results of FCM, NFCC, and NW-FCM fuzzy clustering algorithm. The methodology used in NW-FCM is the concept of weighted mean from the nonparametric weighted feature extraction (NWFE) and cluster mean from discriminant analysis feature extraction (DAFE). These two concepts are combined in NW-FCM for unsupervised clustering. The main feature of this…