1839 search results - page 2 / 368 » Feature Selection in Clustering Problems |
CORR
2007
Springer
13 years 5 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ICML
2003
IEEE
13 years 10 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
BMCBI
2007
13 years 5 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
CVPR
2009
IEEE
15 years 12 days ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...