HD-Eye: visual mining of high-dimensional data
Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk · IEEE Computer Graphics and Applications · 1999
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.