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| File Information |
| Description |
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). |
| MATLAB release |
MATLAB 7.3 (R2006b)
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| Comments and Ratings (3) |
| 27 Oct 2007 |
Gunawan rudi
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| 02 Jun 2008 |
azzeddine menasria
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| 24 May 2010 |
michael scheinfeild
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| Updates |
| 09 Oct 2007 |
Filename clash fixed |
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