1839 search results - page 10 / 368 » Feature Selection in Clustering Problems |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
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...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
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 ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...