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Integer Programming Methods for Seriation and Unidemensional Scaling of Proximity Matrices: A Review and Some Extensions

Integer Programming Methods for Seriation and Unidemensional Scaling of Proximity Matrices: A... 1-norm are also presented. I conclude that the computational scaling problems depends largely on the criterion of interest, with unidimensional scaling problems depends largely on the criterion of interest, with unidimensional scaling in the L 1-norm being especially challenging. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Integer Programming Methods for Seriation and Unidemensional Scaling of Proximity Matrices: A Review and Some Extensions

Brusco, Michael J.
Journal of Classification , Volume 19 (1) – Jan 1, 2002
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Publisher
Springer Journals
Copyright
Copyright © Inc. by 2002 Springer-Verlag New York
Subject
Statistics; Statistical Theory and Methods; Pattern Recognition; Bioinformatics; Signal,Image and Speech Processing; Psychometrics; Marketing
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-001-0032-z
Publisher site
See Article on Publisher Site

Abstract

1-norm are also presented. I conclude that the computational scaling problems depends largely on the criterion of interest, with unidimensional scaling problems depends largely on the criterion of interest, with unidimensional scaling in the L 1-norm being especially challenging.

Journal

Journal of Classification – Springer Journals

Published: Jan 1, 2002

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