We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data. The experiments were compared to two other algorithms with the same results, but with a very short computation time. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Ruiz, R., Aguilar-Ruiz, J. S., & Riquelme, J. C. (2004). Wrapper for ranking feature selection. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3177, 384–389. https://doi.org/10.1007/978-3-540-28651-6_56
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