Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets

This paper presents an efficient framework for error-bounded compression of high-dimensional discrete-attribute data sets. Such data sets, which frequently arise in a wide variety of applications, ...