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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://www.mathworks.com/matlabcentral/fileexchange/37503-k-means-clustering-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (3.76 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
