K-means clustering with Social Emotional Optimization Algorithm

Description

In this MATLAB code, we implemented the Social Emotional Optimization Algorithm (SEOA) for k-means clustering. 

Input data

The output of the code :

2.0646               1.0710               2.9516

As you see the center of each class is calculated correctly.

We did not use any MATLAB toolbox for the implementation of this code, we just use MATLAB basic programming.