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Density-Based Multidimensional Scaling
Type of publication: Incollection
Citation: rehm2009densitybased
Booktitle: Cooperation in Classification and Data Analsis
Year: 2009
Pages: 53--60
Publisher: Springer
Address: Berlin
URL: http://www.springerlink.com/co...
DOI: 10.1007/978-3-642-00668-5_5
Abstract: Multidimensional scaling provides dimensionality reduction for high-dimensional data. Most of the available techniques try to preserve similarity in terms of distances between data objects. In this paper a new approach is proposed that extends the distance preserving aspect by means of density preservation. Combining both, the distance aspect and the density aspect, permits efficient multidimensional scaling solutions.
Keywords:
Authors Rehm, Frank
Klawonn, Frank
Kruse, Rudolf
Editors Okada, Akinori
Imaizumi, Tadashi
Bock, Hans-Hermann
Gaul, Wolfgang
Added by: [GR]
Total mark: 0
Attachments
  • rehm2009densitybased.pdf
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