BR: A New Method for Computing All Typical Testors

Authors:
Alexsey Lias-Rodríguez;Aurora Pons-Porrata
Affiliations:
Computer Science Department,;Center for Pattern Recognition and Data Mining, Universidad de Oriente, Santiago de Cuba, Cuba
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

Citing 2
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A fast implementation of the CT_EXT algorithm for the testor property identification

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Abstract

Typical testors are very useful in Pattern Recognition, especially for Feature Selection problems. The complexity of computing all typical testors of a training matrix has an exponential growth with respect to the number of features. Several methods that speed up the calculation of the set of all typical testors have been developed, but nowadays, there are still problems where this set is impossible to find. With this aim, a new external scale algorithm BR is proposed. The experimental results demonstrate that this method clearly outperforms the two best algorithms reported in the literature.