Cluster Image Intensity using K-Means Clustering

Version 1.0.0 (665 KB) by Akhilesh Kumar
Cluster nuclear fusion image based on machine learning and image processing
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Updated 9 May 2020

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Intensity based clustering of an image Using Statistics and Machine Learning and Image Processing Toolbox for K (No of Clusters)= 1 to 4
k-means clustering is a partitioning method. The function kmeans partitions data into k mutually exclusive clusters and returns the index of the clustered data.

Cite As

Akhilesh Kumar (2026). Cluster Image Intensity using K-Means Clustering (https://in.mathworks.com/matlabcentral/fileexchange/75437-cluster-image-intensity-using-k-means-clustering), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with R2018b and later releases
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1.0.0