Finds the optimal number of clusters (k) for a given dataset using the Silhuette method.
Updated 20 Feb 2021

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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:

Cite As

Katarina Vuckovic (2024). kmeans_silhouette (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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