How to find local peaks in a 3D plane
4 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hello all,
I have a problem in automatically detection of 4 quite obviously present peaks. I transformed my data to a almost flat plane with four peaks in z-direction. I want to automatically detect the locations and corresponding datapoints of the 4 peaks. Does someone know how to solve this problem? I've added my data.
1 Commento
dpb
il 30 Giu 2021
You could help by supplying the code to do what you've done so far and by telling us what, specifically is the data in the .mat file -- original, transformed by whatever it is you described, ...???
Risposta accettata
Akira Agata
il 2 Lug 2021
How about the following?
% Load data
load('positionsplane.mat');
% Arrange it as a table variable
tData = array2table(positionsplanenew,'VariableNames',{'x','y','z'});
% Extract z > 15
idx = tData.z > 15;
tData2 = tData(idx,:);
% Apply k-means clustering
rng('default');
g = kmeans(tData2{:,:},4);
tData2.group = g;
% Find maximam points for each cluster
peaks = splitapply(@max, tData2.z, tData2.group);
idx = ismember(tData2.z, peaks);
% Visualize the result
figure
scatter3(tData.x, tData.y, tData.z, '.')
hold on
scatter3(tData2.x(idx), tData2.y(idx), tData2.z(idx),'r','filled')
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/671978/image.png)
0 Commenti
Più risposte (0)
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!