| Linde–Buzo–Gray algorithm  Τμήμα Άποψης 1 #305834
 The Linde–Buzo–Gray algorithm (introduced by Yoseph Linde, Andrés Buzo and Robert M. Gray in 1980) is a vector quantization algorithm to derive a good codebook.It is similar to the k-means method in data clustering.
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| The Linde–Buzo–Gray algorithm (introduced by Yoseph Linde, Andrés Buzo and Robert M. Gray in 1980) is a vector quantization algorithm to derive a good codebook. It is similar to the k-means method in data clustering. The algorithm[edit]At each iteration, each vector is split into two new vectors.     A initial state: centroid of the training sequence;B initial estimation #1: code book of size 2;C final estimation after LGA: Optimal code book with 2 vectors;D initial estimation #2: code book of size 4;E final estimation after LGA: Optimal code book with 4 vectors; References[edit]External links[edit] |