Combinatorial Data Analysis
Optimization by Dynamic Programming
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Combinatorial Data Analysis by Lawrence J. Hubert
Book DescriptionCombinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is absolutely central. The focus of this monograph is on the identification of arrangements, which are then further restricted to where the combinatorial search is carried out by a recursive optimization process based on the general principles of dynamic programming (DP). The authors provide a comprehensive and self-contained review delineating a very general DP paradigm or schema that can serve two functions. First, the paradigm can be applied in various special forms to encompass all previously proposed applications suggested in the classification literature. Second, the paradigm can lead directly to many more novel uses. An appendix is included as a user's manual for a collection of programs available as freeware.
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Book DetailsISBN: 9780898714784
(228mm x 152mm x 13mm)
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Jan-1987
Country of Publication: United States
Books By Author Lawrence J. Hubert
Structural Representation of Proximity Matrices with MATLAB, Paperback (March 2006)» View all books by Lawrence J. Hubert
This book presents and demonstrates the use of functions within a MATLAB computational environment.
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