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dc.contributor.authorColtzau, Hauke
dc.contributor.editorEichler, Gerald
dc.contributor.editorWienhofen, Leendert W. M.
dc.contributor.editorKofod-Petersen, Anders
dc.contributor.editorUnger, Herwig
dc.date.accessioned2018-11-14T10:07:08Z
dc.date.available2018-11-14T10:07:08Z
dc.date.issued2012
dc.identifier.isbn978-3-88579-298-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/18189
dc.description.abstractMultidimensional Scaling (MDS) is a technique for dimensionality reduction widely used in the field of data-mining. For P2P data networks, it holds the potential to provide an intuitive way to browse and explore heterogeneous data distributed over the system. Current MDS approaches are dependent on a centralized instance (controller) and can therefore not be used in decentralized environments. In this article, a distributed algorithm for multidimensional scaling is discussed that does not need any such centralized control.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof12th International Conference on Innovative Internet Community Services (I2CS 2012)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-204
dc.titleStructured peer-to-peer networks through distributed nonmetric multidimensional scalingen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages119-129
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationTrondheim, Norway
mci.conference.dateJune 13-15, 2012


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