Vector quantization (VQ) is a classical quantization technique from signal processing.
vector quantisation is a natural application of kmeans
It works by dividing a large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means.
APPLICATIONS : GAN , DATA COMPRESSION
K-MEANS Algo where no of cluster will be decided on the basis of compression ratio given by user.
