5.0 | 1 rating Rate this file 310 downloads (last 30 days) File Size: 10.01 KB File ID: #10943

Vector Quantization - K-Means

02 May 2006 (Updated 02 May 2006)

No BSD License

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

File Information

Description

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.

MATLAB release

MATLAB 7 (R14)

Tags for This File
Everyone's Tags	cluste(2), dsp, kmeans, speech coding, speech processing, vector quantization
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Comments and Ratings (3)
17 Jun 2007	mohsen sedaghat	signal processing
19 Aug 2008	ponraj meshach	good
12 Aug 2009	NOORITAWATI	What should be the value for X ? for command [M, P, DH]=VQSPLIT(X,L)

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Tag Activity for this File
Tag	Applied By	Date/Time
dsp	Esfandiar Zavarehei	22 Oct 2008 08:24:10
vector quantization	Esfandiar Zavarehei	22 Oct 2008 08:24:10
kmeans	Esfandiar Zavarehei	22 Oct 2008 08:24:10
cluste	Esfandiar Zavarehei	22 Oct 2008 08:24:10
speech processing	Esfandiar Zavarehei	22 Oct 2008 08:24:10
speech coding	Esfandiar Zavarehei	22 Oct 2008 08:24:10
cluste	Liu Yung-Chih	13 Sep 2009 01:58:36

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