Plot Border of Clusterred Data
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I want to cluster the data in the attached file to find at which location certain time (period) di dominant. Thus, I want to plot the border of clusterring data in my contour plot.
I find the interesting example in this mathworks example:
% border clustering
xy1 = [randn(50,1) randn(50,1)];
xy2 = [randn(50,1)+5 randn(50,1)];
xy3 = [randn(50,1) randn(50,1)+5];
[idx,c] = kmeans([xy1; xy2; xy3],3)
figure
hold on
plot(xy1(:,1),xy1(:,2),'ro')
plot(xy2(:,1),xy2(:,2),'go')
plot(xy3(:,1),xy3(:,2),'bo')
voronoi(c(:,1),c(:,2))
However, I don't know how to implement such code to my data. Some help is really appreciated.
EK
6 Comments
darova
on 18 Nov 2019
try clusterdata
Image Analyst
on 18 Nov 2019
Edited: Image Analyst
on 18 Nov 2019
- What do each of the 3 columns represent?
- How many clusters do you think there are? (What is k?)
- Why do you think there are clusters in the first place?
- Do you want clusters in 3-D or in 2-D (over just two of the columns, if so which ones?)
- Exactly what does "certain time (period) di dominant" mean?
data = xlsread('data_test.xls');
plot3(data(:, 1), data(:, 2), data(:, 3), '.', 'MarkerSize', 50);
grid on;

edward kabanyas
on 18 Nov 2019
edward kabanyas
on 20 Nov 2019
Image Analyst
on 21 Nov 2019
Why not use scatter3() where each z value range is given a different color?
And again, I don't know what "di dominant" means? I've never even heard of the adjective "di".
edward kabanyas
on 21 Nov 2019
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