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In the development of fuzzy clustering algorithm, FCM (Fuzzy C-Means) is a popular and widely used method to classify data. It is implemented in various programming languages, including MATLAB, which is a well-known numerical computing software. The implementation of FCM using MATLAB offers several advantages, such as high efficiency, accuracy, and flexibility. It allows users to customize the algorithm and adjust the parameters to fit their specific needs. Moreover, MATLAB provides a user-friendly interface and extensive documentation, making it easy for researchers and practitioners to use and understand. Therefore, the implementation of fuzzy clustering algorithm using FCM and MATLAB is a valuable tool in data mining, pattern recognition, and other related fields.