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| ==en construction==
| | #REDIRECTION [[analyse discriminante linéaire]] |
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| == Définition==
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| [DOUBLON]
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| Voir : '''[[analyse discriminante linéaire]]'''
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| == Français ==
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| ''' XXXXXXXXX '''
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| == Anglais ==
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| ''' Linear discriminant analysis'''
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| Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics and other fields, to find a linear combination of features that characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.
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| <small>
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| [https://en.wikipedia.org/wiki/Linear_discriminant_analysis Source : Wikipedia Machine Learning ]
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| [[Catégorie:vocabulary]]
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| [[Catégorie:Wikipedia-IA]]
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