Cluster Image Intensity using K-Means Clustering
Updated 9 May 2020
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.
Akhilesh Kumar (2023). Cluster Image Intensity using K-Means Clustering (https://www.mathworks.com/matlabcentral/fileexchange/75437-cluster-image-intensity-using-k-means-clustering), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.