Vector quantization is a technique used in signal processing and data compression to efficiently represent high-dimensional data by grouping similar vectors into clusters and replacing them with a single representative vector. This method is often used in image and speech compression, as well as in pattern recognition and data mining applications. Vector quantization aims to minimize the distortion between the original data and the compressed representation, while also reducing the amount of data required for storage or transmission.