Convex optimization as a tool for correcting dissimilarity matrices for regular minimality

Matthias Trendtel, Ali Ünlü

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fechnerian scaling as developed by Dzhafarov and Colonius (e.g., Dzhafarov and Colonius, J Math Psychol 51:290-304, 2007) aims at imposing a metric on a set of objects based on their pairwise dissimilarities. A necessary condition for this theory is the law of Regular Minimality (e.g., Dzhafarov EN, Colonius H (2006) Regular minimality: A fundamental law of discrimination. In: Colonius H, Dzhafarov EN (eds) Measurement and representation of sensations. Erlbaum, Mahwah, pp. 1-46 ). In this paper, we solve the problem of correcting a dissimilarity matrix for Regular Minimality by phrasing it as a convex optimization problem in Euclidean metric space. In simulations, we demonstrate the usefulness of this correction procedure.

Original languageEnglish
Title of host publicationAlgorithms from and for Nature and Life
Subtitle of host publicationClassification and Data Analysis
PublisherKluwer Academic Publishers
Pages165-174
Number of pages10
ISBN (Print)9783319000343
DOIs
StatePublished - 2013
EventJoint Conf. of the 35th Annual Conf. on German Classification Society, GfKl 2011, 33rd Annual Symposium on German Association for Pattern Recognition, DAGM 2011, and the Symposium of the International Federation of Classification Societies, IFCS 2011 - Frankfurt am Main, Germany
Duration: 30 Aug 20112 Sep 2011

Publication series

NameStudies in Classification, Data Analysis, and Knowledge Organization
ISSN (Print)1431-8814

Conference

ConferenceJoint Conf. of the 35th Annual Conf. on German Classification Society, GfKl 2011, 33rd Annual Symposium on German Association for Pattern Recognition, DAGM 2011, and the Symposium of the International Federation of Classification Societies, IFCS 2011
Country/TerritoryGermany
CityFrankfurt am Main
Period30/08/112/09/11

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