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Digital metrics: A graph-theoretical approach

dc.contributor.authorHarary, Franken_US
dc.contributor.authorMelter, Robert A.en_US
dc.contributor.authorTomescu, Ioanen_US
dc.date.accessioned2006-04-07T18:30:14Z
dc.date.available2006-04-07T18:30:14Z
dc.date.issued1984-03en_US
dc.identifier.citationHarary, Frank, Melter, Robert A., Tomescu, Ioan (1984/03)."Digital metrics: A graph-theoretical approach." Pattern Recognition Letters 2(3): 159-163. <http://hdl.handle.net/2027.42/24881>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V15-48MPV3X-2T/2/26de621f3eae2a095cba6f4502a4ae12en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24881
dc.description.abstractConsider the following two graphs M and N, both with vertex set Z x Z, where Z is the set of all integers. In M, two vertices are adjacent when their euclidean distance is 1, while in N, adjacency is obtained when the distance is either 1 or [radical sign]2. By definition, H is a metric subgraph of the graph G if the distance between any two points of H is the same as their distance in G. We determine all the metric subgraphs of M and N. The graph-theoretical distances in M and N are equal respectively to the city block and chessboard matrics used in pattern recognition.en_US
dc.format.extent275444 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleDigital metrics: A graph-theoretical approachen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mathematics, University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationotherDepartment of Mathematics, Southampton College of Long Island University, Southampton, NY 11968, USAen_US
dc.contributor.affiliationotherFaculty of Mathematics, University of Bucharest, Bucharest, Romaniaen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24881/1/0000308.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-8655(84)90040-0en_US
dc.identifier.sourcePattern Recognition Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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