A new algorithm for vector quantization
Fabio Cocurullo, Fabio Lavagetto · 2002
Summary form only given. Given a training set TS of n k-dimensional input vectors TS=(x/sub 1/,x/sub 2/,...,x/sub n/,) considered representative of the signal statistics, the task of designing the optimal vector quantizer consists of finding a set of clusters P.