1839 search results - page 44 / 368 » Feature Selection in Clustering Problems |
132
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PR
2006
15 years 3 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...
159
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ECAI
2010
Springer
15 years 25 days 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 ...
114
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APIN
2008
15 years 3 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...
116
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NLPRS
2001
Springer
15 years 8 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...
126
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IDA
2010
Springer
15 years 1 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...