Fuzzy clustering algorithms

Fuzzy clustering algorithms are methods used to group similar data points into clusters, where each point can belong to more than one cluster with varying degrees of membership, rather than being assigned to a single group. Imagine sorting books where some belong mostly to one genre but also have elements of another—fuzzy clustering captures this nuance. This approach is useful for complex data patterns, providing a more flexible understanding of relationships within data. It is commonly applied in fields like image analysis, pattern recognition, and customer segmentation.