1839 search results - page 44 / 368 » Feature Selection in Clustering Problems |
PR
2006
13 years 8 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
APIN
2008
13 years 9 months ago
2008
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
NLPRS
2001
Springer
14 years 1 months ago
2001
Springer
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
IDA
2010
Springer
13 years 7 months ago
2010
Springer
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...