Vector Quantization - K-Means 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Sep 10, 2007
Size downloadDownloads : 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.
Demands:
• MATLAB Release: R14

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. What is new in Vector Quantization - K-Means 1.0 software script? - Unable to find Vector Quantization - K-Means 1.0 news. What is improvements are expecting? Newly-made Vector Quantization - K-Means 1.1 will be downloaded from here. You may download directly. Please write the reviews of the Vector Quantization - K-Means. License limitations are unspecified.