892 search results - page 5 / 179 » On Feature Selection through Clustering |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
ESANN
2007
13 years 9 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...