A graph theoretic approach to similarity relations
dc.contributor.author | Harary, Frank | en_US |
dc.date.accessioned | 2006-09-11T16:22:54Z | |
dc.date.available | 2006-09-11T16:22:54Z | |
dc.date.issued | 1964-06 | en_US |
dc.identifier.citation | Harary, Frank; (1964). "A graph theoretic approach to similarity relations." Psychometrika 29(2): 143-151. <http://hdl.handle.net/2027.42/45713> | en_US |
dc.identifier.issn | 1860-0980 | en_US |
dc.identifier.issn | 0033-3123 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45713 | |
dc.description.abstract | A similarity relation is reflexive and symmetric. A graph may be regarded as a geometric representation of an irreflexive symmetric relation; an r -graph then coincides with a similarity relation. For the realization of psychophysical phenomena, the points of a graph stand for the stimuli and a line for indistinguishability of a stimulus pair. Not all graphs, however, are likely to arise as similarity relations in a real situation. A special class of graphs, called interval graphs, does have this realistic property. These graphs are described and characterized. | en_US |
dc.format.extent | 485157 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Psychometric Society | en_US |
dc.subject.other | Assessment, Testing and Evaluation | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Psychometrics | en_US |
dc.subject.other | Statistical Theory and Methods | en_US |
dc.subject.other | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | en_US |
dc.title | A graph theoretic approach to similarity relations | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45713/1/11336_2005_Article_BF02289696.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02289696 | en_US |
dc.identifier.source | Psychometrika | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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