The k-means algorithm is widely used in a number applications like speech processing and image compression.
This script implements the algorithm in a simple but general way. It performs four basic steps.
1. Define k arbitrary prototypes from the data samples.
2. Assign each sample to the nearest prototype.
3. Recalculate prototypes as arithmetic means.
4. If a prototype changes, repeat step (2).
Mauricio Martinez-Garcia (2021). K-means algorithm demo (https://www.mathworks.com/matlabcentral/fileexchange/16762-k-means-algorithm-demo), MATLAB Central File Exchange. Retrieved .
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