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@INCOLLECTION{rehm_clustervis_2007,
     author = {Rehm, Frank and Klawonn, Frank and Kruse, Rudolf},
     editor = {Lenz, Hans-Joachim and Decker, Reinhold},
   keywords = {bibtex-import},
      title = {Single Cluster Visualization to Optimize Air Traffic Management},
  booktitle = {Advances in Data Analysis},
       year = {2007},
      pages = {319--325},
  publisher = {Springer},
       isbn = {978-3-540-70980-0},
        doi = {10.1007/978-3-540-70981-7_36},
   abstract = {In this paper we present an application of single cluster visualization (SCV) a technique to visualize single clusters of high-dimensional data. This method maps a single cluster to the plane trying to preserve the relative distances of feature vectors to the corresponding prototype vector. Thus, fuzzy clustering results representing relative distances in the form of a partition matrix as well as hard clustering partitions can be visualized with this technique. The resulting two-dimensional scatter plot illustrates the compactness of a certain cluster and the need of additional prototypes as well. In this work, we will demonstrate the visualization method on a practical application.},
citeulike-article-id={1995904},
priority={0},
}