5603 search results - page 6 / 1121 » Feature Selection for Clustering |
TKDE
2008
13 years 7 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
ISDA
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
NIPS
2003
13 years 8 months ago
2003
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
ICML
1997
IEEE
13 years 11 months ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...