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HD-Eye: visual mining of high-dimensional data

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3 Author(s)
Hinneburg, A. ; Inst. of Comput. Sci., Halle Univ., Germany ; Keim, D.A. ; Wawryniuk, M.

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

Published in:

Computer Graphics and Applications, IEEE  (Volume:19 ,  Issue: 5 )

Date of Publication:

Sep/Oct 1999

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