given that you have this line of code how do you count the number of points in each quadrant ?
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Afua Amoako Dadey
am 12 Jul. 2020
Bearbeitet: Adam Danz
am 15 Jul. 2020
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')
2 Kommentare
Adam Danz
am 12 Jul. 2020
Akzeptierte Antwort
Adam Danz
am 12 Jul. 2020
Bearbeitet: Adam Danz
am 13 Jul. 2020
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
5 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Price and Analyze Financial Instruments finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!