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.
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The formula of the book is really excellent: and each module is written by a known expert in the assigned topic. Such a choice of the editors makes the book readable to many potential users, both pure methodologists and applied statisticians. -- European Journal of Operational Research
This volume, the previous volume, and the other volumes in preparation in the Handbook of Statistics series will certainly constitute a valuable aid and source of reference. -- Journal of the American Statistical Association
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