矢量量化(Vector quantisation) 是一个信号处理中典型的量化技术，它来自于对样本矢量分布的概率密度模型。此技术最早运用于数据压缩。其原理是将一个大组的矢量划分入有大概相似数量的相近点的组。每个组由其中心点表示，可被用作K-means 和其他聚合算法。

Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. 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 and some other clustering algorithms.