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.
