A new fuzzy clustering algorithm called MM was developed to automatically determine the number of clusters and improve clustering accuracy in gene expression data. This algorithm, along with an enhanced version called MMK, outperformed traditional clustering methods by effectively handling missing values, noise, and outliers in real-time gene expression datasets. The MM and MMK algorithms were found to be superior in terms of time complexity and clustering efficiency compared to other algorithms.