DocumentCode
1551736
Title
HD-Eye: visual mining of high-dimensional data
Author
Hinneburg, Alexander ; Keim, Daniel A. ; Wawryniuk, Markus
Author_Institution
Inst. of Comput. Sci., Halle Univ., Germany
Volume
19
Issue
5
fYear
1999
Firstpage
22
Lastpage
31
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
Keywords
data mining; data visualisation; very large databases; HD-Eye; data clustering; data visualization; high-dimensional databases; very large databases; visual data mining; Clustering algorithms; Data mining; Data visualization; Density functional theory; Displays; Kernel; Multidimensional systems; Particle separators; Principal component analysis; Statistical analysis;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/38.788795
Filename
788795
Link To Document