| Document Date: 2002-10-04 04:14:37
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Company Gunsteren A.E. / IEEE Computer Society Press / HP / Visual Database Systems / ACM Press / AAAI Press / / Country Germany / / Currency pence / / / Facility Daniel A. Keim Institute of Computer Science / University of Saarland / University of Halle / Square Wave / / IndustryTerm wellknown clustering algorithms / hill-climbing algorithm / hierarchical clustering algorithms / randomized search tree / ef cient clustering algorithms / locality-based clustering algorithms / spatial data mining / pharmaceutical industry / locality-based clustering algorithm / wellknown partitioning algorithm / randomized and bounded search strategy / / Organization American Association for Arti / University of Saarland / University of Halle / Daniel A. Keim Institute of Computer Science / / Person Morgan Kaufmann / / Position representative / General / / ProgrammingLanguage DC / / ProvinceOrState Saarland / / PublishedMedium Computer Graphics / Lecture Notes in Computer Science / / Technology locality-based clustering algorithms / DSD / hill-climbing algorithm / hierarchical clustering algorithms / DBSCAN algorithm / known algorithms / wellknown partitioning algorithm / ef cient clustering algorithms / cient ThreeDimensional Aircraft Recognition Algorithm / existing algorithms / DENCLUE algorithm / data mining / wellknown clustering algorithms / simulation / Image Processing / locality-based clustering algorithm / CAD / / URL www.aaai.org / /
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An Ecient Approach to Clustering in Large Multimedia Databases with Noise Alexander Hinneburg, Daniel A. Keim Institute of Computer Science, University of Halle, Germany fhinneburg,