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Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization. | Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization. | ||
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Version du 19 décembre 2020 à 21:05
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Définition
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Binarization
Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki
