K-means Algorithm: A Key Fuzzy Clustering Method with MATLAB Implementation

MATLAB implementation of the K-means algorithm, an essential fuzzy clustering method in pattern recognition, featuring code structure explanation and clustering mechanics.

Fuzzy C-Means Clustering Method Implementation

This approach utilizes the Fuzzy C-Means (FCM) clustering algorithm to partition data vectors into three distinct clusters, with center parameters representing the calculated cluster centroids. The FCM method employs soft clustering where each data point can belong to multiple clusters with varying degrees of membership.