IMWFNI_SSIFCM走向稳健聚类：在半监督直觉模糊C均值中集成多个加权因子和邻域信息matlab代码.zip

# Towards Robust Clustering: Integrating Multiple Weighting Factors with Neighborhood Information in Semi-Supervised Intuitionistic Fuzzy C-Means This repository includes the MATLAB implementation of the IMWFNI_SSIFCM algorithm presented in: Amin Golzari Oskouei, Negin Samadi, Asgarali Bouyer, and Bahman Arasteh, "Towards Robust Clustering: Integrating Multiple Weighting Factors with Neighborhood Information in Semi-Supervised Intuitionistic Fuzzy C-Means ," Information Sciences (submitted). 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. ## Condition and terms to use any sources of this project (Codes, Datasets, etc.): 1) Please cite the following papers: [1] Amin Golzari Oskouei, Negin Samadi, Asgarali Bouyer, and Bahman Arasteh, "Towards Robust Clustering: Integrating Multiple Weighting Factors with Neighborhood Information in Semi-Supervised Intuitionistic Fuzzy C-Means ," Information Sciences (submitted). [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 dataset or source codes to others without the authorization from Dr. Amin Golzari Oskouei (first Author). Author’ Email: a.golzari[at]tabrizu.ac.ir (A. Golzari Oskouei).