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122
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JUCS
2008
15 years 2 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
106
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AI
2009
Springer
15 years 9 months ago
2009
Springer
In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20...
132
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FSKD
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
146
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CSIE
2009
IEEE
15 years 9 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
141
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AMR
2007
Springer
15 years 8 months ago
2007
Springer
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...