153 search results - page 1 / 31 » Exploration and Reduction of the Feature Space by Hierarchic... |
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
VISSYM
2003
13 years 5 months ago
2003
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
SEBD
2008
13 years 6 months ago
2008
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
SSDBM
2007
IEEE
13 years 10 months ago
2007
IEEE
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...