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Branch-and-Bound Applications in Combinatorial Data Analysis

Statistics and Computing

Erschienen am 01.12.2010, 1. Auflage 2005
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Bibliografische Daten
ISBN/EAN: 9781441920393
Sprache: Englisch
Umfang: xii, 222 S.
Einband: kartoniertes Buch

Beschreibung

InhaltsangabeIntroduction.- 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.- Introduction to the Branch-and-Bound Paradigm for Seriation.- Maximization of a Dominance Index.- Seriation--Maximization of Gradient Indices.- Seriation--Unidimensional Scaling.- Seriation--Multiobjective Seriation.- An Introduction to Branch-and-Bound Methods for Variable Selection.- Variable Selection for Cluster Analysis.- Variable Selection for Regression Analysis.

Inhalt

Introduction.- 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.- Introduction to the Branch-and-Bound Paradigm for Seriation.- Maximization of a Dominance Index.- Seriation--Maximization of Gradient Indices.- Seriation--Unidimensional Scaling.- Seriation--Multiobjective Seriation.- An Introduction to Branch-and-Bound Methods for Variable Selection.- Variable Selection for Cluster Analysis.- Variable Selection for Regression Analysis.