What is the difference between K-means clustering and vector quantization?
They seem to be very similar.
I'm dealing with Hidden Markov Models and I need to extract symbols from feature vectors.
In order to extract symbols, do I do vector quantization or k-means clustering?
The way I understand it, K-means is one type of vector quantization.