Branch-and-Bound Applications in Combinatorial Data Analysis

There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial problems arise in the clustering of a collection of objects, the seriation (sequencing or ordering) of objects, and the selection of variables for subsequent multivariat...

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Détails bibliographiques
Auteurs principaux: Brusco, Michael J., 19..-, Stahl, Stephanie, 19..- (Auteur), Stahl, Stephanie (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: New York, NY : Springer New York [20..].
Cham : Springer Nature
Édition:1st ed. 2005.
Collection:Statistics and Computing
Accès en ligne:Accès sur la plateforme de l'éditeur
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Note: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Branch-and-bound applications in combinatorial data analysis, Michael J. Brusco, Stephanie Stahl, 2005, New York, Springer, 1 vol. (XII-221 p.), Statistics and computing, 0-387-25037-9
• Branch-and-Bound Applications in Combinatorial Data Analysis, Texte imprimé, 9781441920393
• Inverse Schrödinger scattering in three dimensions, R.G. Newton, Berlin, Springer, 1989, 1 vol. (X-170 p.), Texts and monographs in physics, 0-387-50563-6
Table des matières:
  • Cluster Analysis Partitioning An Introduction to Branch-and-Bound Methods for Partitioning Minimum-Diameter Partitioning Minimum Within-Cluster Sums of Dissimilarities Partitioning Minimum Within-Cluster Sums of Squares Partitioning Multiobjective Partitioning Seriation to the Branch-and-Bound Paradigm for Seriation Seriation Maximization of a Dominance Index Seriation Maximization of Gradient Indices Seriation Unidimensional Scaling Seriation Multiobjective Seriation Variable Selection to Branch-and-Bound Methods for Variable Selection Variable Selection for Cluster Analysis Variable Selection for Regression Analysis