MATLAB Implementation of the Fukunaga Koontz Transform
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.
Cita come
Warren Koontz (2024). MATLAB Implementation of the Fukunaga Koontz Transform (https://www.mathworks.com/matlabcentral/fileexchange/57432-matlab-implementation-of-the-fukunaga-koontz-transform), MATLAB Central File Exchange. Recuperato .
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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1.0.0.0 | Added comments.
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