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Vector Quantization - K-Means

A simple algorithm for training codebooks for vector quantizationusing K-Means


Last Week downloads: 0
Total downloads: 143
  • Last Updated: Jul 5, 2010
  • License: Freeware Free
  • OS: Windows /Linux/Mac OS/BSD/Solaris
  • Requirements: Matlab 7 (R14)

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4 out of 5 based on 1 ratings for Vector Quantization - K-Means

For Vector Quantization - K-Means Publisher's description


Vector Quantization - K-Means is a Scripts software developed by Esfandiar Zavarehei. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Vector Quantization - K-Means:

Edit By BS Editor: This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each cluster replaces the centroid first. If the total distance is not improved substantially, The centroids are each split to two. This goes on untill the required number of clusters is reached and the improvement is not substantial.
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