892 search results - page 3 / 179 » On Feature Selection through Clustering |
IDA
2002
Springer
13 years 4 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
BMCBI
2004
13 years 4 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
CIARP
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
APBC
2004
13 years 6 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...