Marginal and Functional Quantization of Stochastic Processes by Harald Luschgy , Gilles Pagès
English | PDF (True) | 2023 | 918 Pages | ISBN : 3031454634 | 16.8 MB
Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the 1960s, it evolved into an automatic classification technique for generating prototypes of extensive datasets. In modern terms, it can be recognized as a seminal contribution to unsupervised learning through the k-means clustering algorithm in data science.