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@INCOLLECTION{rehm2009densitybased,
     author = {Rehm, Frank and Klawonn, Frank and Kruse, Rudolf},
     editor = {Okada, Akinori and Imaizumi, Tadashi and Bock, Hans-Hermann and Gaul, Wolfgang},
      title = {Density-Based Multidimensional Scaling},
  booktitle = {Cooperation in Classification and Data Analsis},
       year = {2009},
      pages = {53--60},
  publisher = {Springer},
    address = {Berlin},
        url = {http://www.springerlink.com/content/l65175m574187208},
        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.}
}