MATLAB Implementation of the K-Medoids Clustering Algorithm

K-Medoids Clustering Algorithm: An object-based clustering approach using medoids as cluster representatives. Implementation steps include medoid initialization, data point assignment, and iterative medoid swapping based on cost minimization. This method is robust to noise and outliers, suitable for small datasets.