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kmeans_silhouette

version 1.0.0 (1.23 KB) by Katarina Vuckovic
Finds the optimal number of clusters (k) for a given dataset using the Silhuette method.

28 Downloads

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:
https://en.wikipedia.org/wiki/Silhouette_(clustering)

Cite As

Katarina Vuckovic (2021). kmeans_silhouette (https://www.mathworks.com/matlabcentral/fileexchange/87654-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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