Plot Border of Clusterred Data

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

try clusterdata
  1. What do each of the 3 columns represent?
  2. How many clusters do you think there are? (What is k?)
  3. Why do you think there are clusters in the first place?
  4. Do you want clusters in 3-D or in 2-D (over just two of the columns, if so which ones?)
  5. 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;
Thank you Image analysist. The first column is latitude, second is longitude, third is time/period (period). I want to cluster period into 4 cluster i.e 0-5, 6-11, 12-17, 18-23. I want know at which location/area certain time (period) di dominant by plotting the border of area of each cluster of time.
EK
My array is 2 dimensional data (x,y, z) where data(i,j) gives the z coordinate for indices i, j ? I want to form a cluster using Z to see which cluster is located where on spatial map.
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".
>And again, I don't know what "di dominant" means?
Sorry, this is typo, I mean "is dominant"...if we use scatter3(), can we plot the border of the area coverred by z value range on spatial map?

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Answers (0)

Asked:

on 18 Nov 2019

Commented:

on 21 Nov 2019

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