# Vector Quantization - K-Means 1.0

OS : Windows / Linux / Mac OS / BSD / Solaris

Script Licensing : Freeware

Created : Sep 10, 2007

Downloads : 2

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## This function is for training a codebook for vector ...

This function is for training a codebook for vector quantization. The data set is split to two cluster, 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.

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.

**• MATLAB Release: R14**

**Demands:****Vector Quantization - K-Means 1.0 scripting tags:**k-means, vector, quantization, signal processing, vector quantization, k-means signal, vector quantization k-means, centroids, cluster.

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