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dc.contributor.authorMüller, Emmanuel
dc.contributor.authorAssent, Ira
dc.contributor.authorGünnemann, Stephan
dc.contributor.authorGerwert, Patrick
dc.contributor.authorHannen, Matthias
dc.contributor.authorJansen, Timm
dc.contributor.authorSeidl, Thomas
dc.contributor.editorHärder, Theo
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorSchöning, Harald
dc.contributor.editorSchwarz, Holger
dc.date.accessioned2019-01-17T10:36:45Z
dc.date.available2019-01-17T10:36:45Z
dc.date.issued2011
dc.identifier.isbn978-3-88579-274-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/19588
dc.description.abstractIn high dimensional databases, traditional full space clustering methods are known to fail due to the curse of dimensionality. Thus, in recent years, subspace clustering and projected clustering approaches were proposed for clustering in high dimensional spaces. As the area is rather young, few comparative studies on the advantages and disadvantages of the different algorithms exist. Part of the underlying problem is the lack of available open source implementations that could be used by researchers to understand, compare, and extend subspace and projected clustering algorithms. In this work, we discuss the requirements for open source evaluation software and propose the OpenSubspace framework that meets these requirements. OpenSubspace integrates state-of-the-art performance measures and visualization techniques to foster clustering research in high dimensional databases.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-180
dc.titleA framework for evaluation and exploration of clustering algorithms in subspaces of high dimensional databasesen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages347-366
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationKaiserslautern
mci.conference.date02.-04.03.2011


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