% EXAMPLE 1
% 2D Data
% Clustering of 2D data via fuzzy c-means algorithm
%

clear all, close all, clc

sample1 = [ ( 75.2 - 32 ).*rand( 1, 20 ) + 32, ...
            ( 60 - 20 ).*rand( 1,20 ) + 20, ...
            ( 15 -( -3.4 ) ).*rand( 1, 20 ) + ( -3.4 ) 
          ]';
% 
 sample2 = [ ( 19.2 - 1 ).*rand( 1,20 ) + 1, ...
            ( -10 - ( -42.5 ) ).*rand( 1,20 ) + ( -42.5 ), ...
            ( 20.4 - ( -5 ) ).*rand( 1,20 ) + ( -5 ) 
           ]';
% 
 inputs = [ sample1, sample2 ];
% 
 [ U, C ] = fuzzy_c_means( inputs, 3, 2, 1e-9 );
 
 
figure, plot(linspace(-10,80,60),U(:,1),'-r'),hold on, 
        plot(linspace(-10,80,60),U(:,2),'--b'), hold on,
        plot(linspace(-10,80,60),U(:,3),'-.m')