k-means clustering algorithm

Version 1.0.0.0 (3.76 KB) by Craig
Performs one step of the k-means clustering algorithm
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Updated 16 Jul 2012

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Input image must be a nxm binary image and the initial guess of where the averages of the clusters are must be a px2 array with each row representing the row and column value of each initial cluster average guess.

An example m file is provided to illustrate its use.

Cite As

Craig (2026). k-means clustering algorithm (https://in.mathworks.com/matlabcentral/fileexchange/37503-k-means-clustering-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Cluster Analysis and Anomaly Detection in Help Center and MATLAB Answers
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Version Published Release Notes
1.0.0.0