given that you have this line of code how do you count the number of points in each quadrant ?
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Classical = pdist2(matrix_logdiff_nsample, mean(matrix_logdiff_nsample),'mahal');
p = size(matrix_logdiff_nsample,2);
chi2quantile = chi2inv(0.99,p);
[SFmcd, MFmcd, Fmcd, OutFmcd] = robustcov(matrix_logdiff_nsample);
plot(Classical, Fmcd, 'o')
line([chi2quantile, chi2quantile], [0, 120], 'color', 'r')
line([0, 80], [chi2quantile, chi2quantile], 'color', 'r')
hold on
plot(Classical(OutFmcd), Fmcd(OutFmcd), 'b*')
xlabel('Mahalanobis Distance')
ylabel('Robust Distance')
title('Distance Plot, Fast MCD method')
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Adam Danz
2020-7-12
采纳的回答
Adam Danz
2020-7-12
编辑:Adam Danz
2020-7-13
You just need to modify either of the two answers received for similar questions in the past (listed under your question).
To modify this answer, you just need to replace the centerPoint_x, centerPoint_y values with the coordinates you're using to define the quadrants.
Based on your image it would look something like,
centerPoint_x = 15; % approximate guess based on image
centerPoint_y = 18; % approximate guess based on image
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