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Using projections to visually cluster high-dimensional data

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3 Author(s)
Hinneburg, A. ; Halle-Wittenberg Univ., Germany ; Keim, D. ; Wawryniuk, M.

The High-Dimensional Eye system proves that a tight integration of advanced clustering algorithms and state-of-the-art visualization techniques can help us better understand and effectively guide the clustering process, and thus significantly improve the clustering results.

Published in:

Computing in Science & Engineering  (Volume:5 ,  Issue: 2 )