## Clustering by MATLAB GA tool box

version 1.0.0.0 (653 KB) by
This program creates clusters by GA tool box

Updated 24 Mar 2014

unzip the folder 'mk'and run test1.m which clusters random sample od 10,000 two dimension data into 5 clusters by K emans algorithm.
*************
clear;
clc;
% x is the vector of centroids of the cluser gropr. x(1),x(2) coordinates
% of first cluster and so on.so if no of clusters id k the dimension of x
% is 2*k
data=rand(10000,2);
% random data to be grouped as clusters
k=5;
save data
save k
options = gaoptimset('PopulationSize', 50,'Generations', 500,'StallGenLimit',500,'TimeLimit', 2000,'StallTimeLimit', 2000,'PlotFcns', {@gaplotbestf,@gaplotbestindiv});
[x F]=ga(@clust1,2*k,options)
% x=rand(1,10);
[F s1]=clust1(x);
pause;
close('Genetic Algorithm')
aa1=find(s1==1);
x1=data(aa1',1);
y1=data(aa1',2);
aa2=find(s1==2);
x2=data(aa2',1);
y2=data(aa2',2);
aa3=find(s1==3);
x3=data(aa3',1);
y3=data(aa3',2);
aa4=find(s1==4);
x4=data(aa4',1);
y4=data(aa4',2);
aa5=find(s1==5);
x5=data(aa5',1);
y5=data(aa5',2);
cx1=x([1 3 5 7 9]);
cy1=x([1 3 5 7 9]+1);
plot(x1,y1,'*',x2,y2,'+ ',x3,y3,'s ',x4,y4,'. ',x5,y5,'v ');
hold on
plot(cx1,cy1,'kd');
% each cluster is chown is different colors and symbols, the centroids are pointed as dimond

### Cite As

RMS Danaraj (2021). Clustering by MATLAB GA tool box (https://www.mathworks.com/matlabcentral/fileexchange/46008-clustering-by-matlab-ga-tool-box), MATLAB Central File Exchange. Retrieved .

##### MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
##### Platform Compatibility
Windows macOS Linux