HD-Eye: Visual Mining of High-Dimensional Data

Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk

Abstract: Clustering in high-dimensional databases poses an important problem. However, we can apply a number of different clustering algorithms to high-dimensional data. The authors consider how an advanced clustering algorithm combined with new visualization methods interactively clusters data more effectively. Experiments show these techniques improve the data mining process.