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Catalogue Information
Field name	Details
Dewey Class	511.6 (DDC 22)
Title	Branch-and-Bound Applications in Combinatorial Data Analysis (EB) / by Michael J. Brusco, Stephanie Stahl.
Author	Brusco, Michael J.
Added Personal Name	Stahl, Stephanie
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer , 2005.
Physical Details	: v.: digital
Series	Statistics and computing 1431-8784
ISBN	9780387288109
Summary Note	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.:
System details note	Online acces to this digital book is restricted to subscription institutions and available through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/0-387-28810-4
Links to Related Works	Subject References: Branch and bound algorithms. . Mathematical Statistics . Operations research . Authors: Brusco, Michael J. . Stahl, Stephanie . Corporate Authors: SpringerLink (Online service) . Series: Statistics and computing . Classification: 511.6 (DDC 22) .

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Branch-and-Bound Applications in Combinatorial Data Analysis

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