Fuzzy Clustering

Fuzzy clustering is a machine learning algorithm that groups data points into clusters. Fuzzy clustering assigns membership degrees to each cluster instead of hard assignments. This approach allows for partial memberships in multiple clusters simultaneously. Fuzzy clustering is useful when dealing with overlapping or noisy data. It can also handle outliers and missing values by adjusting the membership degrees.