Vector quantization is a technique used in (usually lossy) data compression. The basic idea is to code a multidimensional vector space into a sub-space with lower dimension. The lower-space vector requires less storage space and the data is thus compressed. The transformation into the sub-space is usually achieved through projection or by using a code-book.
See also: speech coding
External links: http://www.data-compression.com/vq.html