Buch, Englisch, 222 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g
Reihe: Statistics and Computing
Buch, Englisch, 222 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 365 g
Reihe: Statistics and Computing
ISBN: 978-1-4419-2039-3
Verlag: Springer
This book provides explanatory text, illustrative mathematics and algorithms, demonstrations of the iterative process, pseudocode, and well-developed examples for (familiar as well as novel) applications of the branch-and-bound paradigm to relevant problems in combinatorial data analysis.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
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.