CGFCM源代码 改进模糊聚类分割

# CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation The Source_Code.rar file includes the MATLAB implementation of the CGFFCM algorithm presented in: A. G. Oskouei, M. Hashemzadeh, B. Asheghi, and M.-A. Balafar, "CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation," Applied Soft Computing, p. 108005, 2021/10/26/ 2021, doi: https://doi.org/10.1016/j.asoc.2021.108005. Comments are written for all steps of the algorithm for better understanding the code. Also, a demo is implemented for ease of running, which runs by importing the data and other necessary algorithm parameters. To evaluate the proposed method, the benchmark Berkeley dataset has been used. There are some images of this dataset in the uploaded file (Test_Dataset.rar). Whole dataset is available on: https://github.com/BIDS/BSDS500.git. ## Condition and terms to use any sources of this project (Codes, Datasets, etc.): 1) Please cite the following papers: [1] A. G. Oskouei, M. Hashemzadeh, B. Asheghi, and M.-A. Balafar, "CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation," Applied Soft Computing, p. 108005, 2021/10/26/ 2021, doi: https://doi.org/10.1016/j.asoc.2021.108005. [2] M. Hashemzadeh, A. Golzari Oskouei, and N. Farajzadeh, "New fuzzy C-means clustering method based on feature-weight and cluster-weight learning," Applied Soft Computing, vol. 78, pp. 324-345, 2019/05/01/ 2019, doi: https://doi.org/10.1016/j.asoc.2019.02.038.2 2) Please do not distribute the database or source codes to others without the authorization from Dr. Mahdi Hashemzadeh (Corresponding author). Authors’ Emails: a.golzari[at]tabrizu.ac.ir (A. Golzari Oskouei), hashemzadeh[at]azaruniv.ac.ir (M. Hashemzadeh).