description: Hardbound. Papers included in this volume deal with discriminant analysis, clustering techniques and software, multidimensional scaling, statistical, linguistic and artificial intelligence models and methods for pattern recognition and some of their applications. Further examined are the selection of subsets of variables for allocation and discrimination, and reviews of some paradoxes and open questions in the areas of variable selection, dimensionality, sample size and error estimation.
language: English
title: Classification Pattern Recognition and Reduction of Dimensionality (Volume 2)
titlecomplete: Classification Pattern Recognition and Reduction of Dimensionality (Volume 2) (Handbook of Statistics, Volume 2)
publisher: Elsevier Science