µ = [0, 0]
𝝈��� = 1.7
samples = 150

µ = [0, 3]
𝝈��� = 0
samples = 100

µ = [4, 3]
𝝈��� = -1.7
samples = 50

centros = 2
interações = 100

Classe 1
 V: 104  F: 46
Classe 2
 V: 149  F: 1

Indice de Rand Corrigido: 0.4699
Error Classificacao Global: 0.1567
Error Classificacao Classe 1: 0.3067
Error Classificacao Classe 2: 0.0067

clear % Clear Variables
clc   % Clear Console

[samples, qClass1, qClass2] = distribution(); % Create Distribution
clustering(samples, qClass1, qClass2);        % Clustering with k-means