692 search results - page 7 / 139 » Hierarchical exploration of large multivariate data sets |
138
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KDD
2000
ACM
15 years 1 months ago
2000
ACM
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
100
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INFOVIS
2002
IEEE
15 years 2 months ago
2002
IEEE
Beamtrees are a new method for the visualization of large hierarchical data sets. Nodes are shown as stacked circular beams, such that both the hierarchical structure as well as t...
CIKM
2007
Springer
15 years 3 months ago
2007
Springer
Queries issued by casual users or specialists exploring a data set often point us to important subsets of the data, be it clusters, outliers or other features of particular import...
NN
2006
Springer
14 years 9 months ago
2006
Springer
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
79
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SSPR
1998
Springer
15 years 1 months ago
1998
Springer
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...