5603 search results - page 233 / 1121 » Feature Selection for Clustering |
180
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
194
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
141
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
178
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IDEAL
2005
Springer
16 years 3 days ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
220
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AUSAI
2007
Springer
15 years 10 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...