MATLAB Implementation of the Fukunaga Koontz Transform

MATLAB Implementation of a feature selection and ordering algorithm developed by Fukunaga and Koontz
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Actualizado 30 may 2016

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The Fukunaga Koontz transform (FKT) is a linear transform that can be applied to a
dataset X derived from a set of objects that are each classified into one of two classes. X is
an N x L matrix where each row corresponds to an object and each column is a real valued
attribute of the object. In the transformed space the attributes that are the most important for class 1 are the least for class 2 and vice versa.

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Warren Koontz (2025). MATLAB Implementation of the Fukunaga Koontz Transform (https://la.mathworks.com/matlabcentral/fileexchange/57432-matlab-implementation-of-the-fukunaga-koontz-transform), MATLAB Central File Exchange. Recuperado .

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Se creó con R2016a
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Versión Publicado Notas de la versión
1.0.0.0

Added comments.
Added comments and fixed typo in pdf file.