A Comparative Study on Fuzzy Clustering Algorithms in Medical Data Analysis
Fuzzy clustering algorithms are rapidly applied in medical data analysis because they can capture uncertainty and overlapping patterns more effectively than traditional hard clustering methods. This paper presents a comparative study of five widely studied approaches such as Conventional Fuzzy C-Means, Kernelized Fuzz...