Fast kmeans Algorithm Code

Version 1.7.0.0 (2.36 KB) by ankit dixit
A Very fast and efficient Implementation for kmeans clustering of an Image or Array.
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6.4K Downloads
Updated 10 Jan 2014

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This code uses MATLAB's Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array.

Comparison.
1. Faster than MATLAB's internal kmeans function.
2. Consistant Output than internal kmeans.
3. 100% convergence.
4. Very efficient for color image segmentation in L*a*b* color space.
5. Very easy to understand and can be easily modified according to requirement.

Hope you will like it. i am waiting for your reviews and comments.

Cite As

ankit dixit (2024). Fast kmeans Algorithm Code (https://www.mathworks.com/matlabcentral/fileexchange/44598-fast-kmeans-algorithm-code), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: Sparsified K-Means

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Version Published Release Notes
1.7.0.0

Change in output mean
1.6.0.0

These code supports color image as input and returns a segmented labeled image as output.
1.5.0.0

Minor Changes.
1.2.0.0

Now return Clustered Image at Output!!!...I will put kmeans for color clustering in next update :-)
1.0.0.0