The function takes in a dataset in the format of [Nx2] where each data-point is represented as [xi,yi] and the maximum number of clusters to consider (kmax). The function then uses kmeans and Silhouette coefficients to determine the optimal number of clusters. The function outputs S-score for each k and the optimal k.
Refer to the following link for details about the Silhouette clustering algorithm:
Katarina Vuckovic (2021). kmeans_silhouette (https://www.mathworks.com/matlabcentral/fileexchange/87654-kmeans_silhouette), MATLAB Central File Exchange. Retrieved .
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