MATLAB Implementation of the Fukunaga Koontz Transform

Version 1.0.0.0 (161 KB) by Warren Koontz
MATLAB Implementation of a feature selection and ordering algorithm developed by Fukunaga and Koontz
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Updated 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.

Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0

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