Using projections to visually cluster high-dimensional data

Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk

Abstract: 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.