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Code covered by the BSD License

CFD=Coincident_Failure(C,T); This code used to compute Coincident Failure diversity between more than two
D=Convert_To_Pair_Disagreemen... This code used to compute disagreement coefficient between more than two classifiers
D=Convert_To_Pair_Double_Faul... This code used to compute Double Fault Diversity between more than two classifiers
D=Disagreement(C1,C2) Disagreement test used Pairwise classifiers
D=Double_Fault(C1,C2) Double fault used Pairwise classifiers
E=entropy(C); This code used to compute Entropy diversity between more than two classifiers
GD=Generalized(C) This code used to compute Generalize diversity between more than two
K=Interrater_k_P(C1,C2) Yule's Q test used Pairwise classifiers
P=Convert_To_Pair_Correlation... This code used to compute correlation coefficient between more than two
P=Correlation(C1,C2) Correlation test used Pairwise classifiers
Q=Convert_To_Pair_Q_Test(C) This code used to compute Q test between more than two classifiers
Q=Q_Test(C1,C2) Yule's Q test used Pairwise classifiers
Theta=difficulty(C) This code used to compute Difficulty diversity between more than two classifiers
k=Interrater_k(C) This code used to compute Interrater coefficient between more than two
k=Kohavi_Wolpert(C) This code used to compute Kohavi Wolpert diversity between more than two
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Measures of Diversity

08 Jan 2012

This file has the ten measures of diversity

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Description

This file has the ten measures of diversity.

All details about the equations of these measures are in Kuencheva book (Pattern of Combiners)

Required Products

MATLAB
Image Processing Toolbox

MATLAB release

MATLAB 7 (R14)

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