HD-Eye: visual mining of high-dimensional data |
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Authors: | Hinneburg A. Keim D.A. Wawryniuk M. |
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Affiliation: | Inst. of Comput. Sci., Halle Univ.; |
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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 |
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