Abstract
Microarray datasets comprise a large number of gene expression values and a relatively small number of samples. Feature selection algorithms are very useful in these situations in order to find a compact subset of informative features. We propose a redundancy control method for algorithms in the recently proposed SPEC family of spectral-based feature selection algorithms. This method is applied to find relevant genes in order to cluster samples corresponding to three kinds of cancer: lung, breast and colon.
Original language | English |
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Title of host publication | 8th International Conference on Machine Learning and Applications, ICMLA 2009 |
Pages | 425-428 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2009 |
Event | 8th International Conference on Machine Learning and Applications, ICMLA 2009 - Miami Beach, FL, United States Duration: 13 Dec 2009 → 15 Dec 2009 |
Publication series
Name | 8th International Conference on Machine Learning and Applications, ICMLA 2009 |
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Conference
Conference | 8th International Conference on Machine Learning and Applications, ICMLA 2009 |
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Country/Territory | United States |
City | Miami Beach, FL |
Period | 13/12/09 → 15/12/09 |
Bibliographical note
Copyright:Copyright 2010 Elsevier B.V., All rights reserved.