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Two Classes Linear Discrimination, a Min-Max Approach

Abstract : In this paper we propose a new dichotomic linear discrimination algorithm based on a criterion recursively defined from the min and max functions. This criterion allows us, using a gradient algorithm, to find two hyperplanes which split two classes in an optimal way. We give two examples of the possibilities of the method.
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Contributor : Philippe Castagliola Connect in order to contact the contributor
Submitted on : Tuesday, May 19, 2020 - 5:28:20 PM
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  • HAL Id : hal-00340822, version 1


Philippe Castagliola, Bernard Dubuisson. Two Classes Linear Discrimination, a Min-Max Approach. Pattern Recognition Letters, Elsevier, 1989, 10, pp.281-287. ⟨hal-00340822⟩



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