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| def optimal_number_of_clusters(wcss): | |
| x1, y1 = 2, wcss[0] | |
| x2, y2 = 20, wcss[len(wcss)-1] | |
| distances = [] | |
| for i in range(len(wcss)): | |
| x0 = i+2 | |
| y0 = wcss[i] | |
| numerator = abs((y2-y1)*x0 - (x2-x1)*y0 + x2*y1 - y2*x1) | |
| denominator = sqrt((y2 - y1)**2 + (x2 - x1)**2) | |
| distances.append(numerator/denominator) | |
| return distances.index(max(distances)) + 2 |
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Obrigado pelo exemplo! Pequena correção na linha 9:
numerator = abs((y2-y1)*x0 - (x2-x1)*y0 + x2*y1 - y2*x1)