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ADD: Add GLCM Maximal Correlation Coefficient #411

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JoostJM
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@JoostJM JoostJM commented Aug 22, 2018

Add the 14th Haralick feature to the GLCM.
Add baseline for this feature and update documentation accordingly.

Additionally, simplify eigenValue calculation in shape.py (instead of numpy.linalg.eig, call numpy.linalg.eigvals, which only returns eigenvalues and not the eigenvectors (not used)).

cc @Radiomics/developers

@JoostJM JoostJM force-pushed the add-maximal-correlation-coefficient branch 3 times, most recently from 1da28ee to 703d37b Compare August 23, 2018 15:42
Add the 14th Haralick feature to the GLCM.
Add baseline for this feature and update documentation accordingly.

Additionally, simplify eigenValue calculation in shape.py (instead of numpy.linalg.eigval, call numpy.linalg.eigvals, which only returns eigenvalues and not the eigenvectors (not used)).
Also document the equality of HXY1 and HXY2 (both equal to HX + HY), and their relationship with mutual information (I = HX + HY - HXY).
Add the expected ranges of values.

Fix typos in the rendering of the MCC formula.
@JoostJM JoostJM force-pushed the add-maximal-correlation-coefficient branch from 703d37b to 0a5a7d7 Compare September 12, 2018 13:24
@JoostJM JoostJM merged commit 423c666 into AIM-Harvard:master Sep 21, 2018
@JoostJM JoostJM deleted the add-maximal-correlation-coefficient branch September 21, 2018 10:55
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