Coltzau, HaukeEichler, GeraldWienhofen, Leendert W. M.Kofod-Petersen, AndersUnger, Herwig2018-11-142018-11-142012978-3-88579-298-7https://dl.gi.de/handle/20.500.12116/18189Multidimensional 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.enStructured peer-to-peer networks through distributed nonmetric multidimensional scalingText/Conference Paper1617-5468