Vector quantization: Difference between revisions

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Training: reverting, as I don't know what "<distance-sensitivity> means
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# Increase each centroid's sensitivity by a small amount
# Pick a sample point at random
# Find the quantization vector centroid with the smallest <distance minus -sensitivity>
## Move the chosen centroid toward the sample point by a small fraction of the distance
## Set the chosen centroid's sensitivity to zero