def test_dunn_regression(self): dunn_calculator = DunnCalculator() expected = [0.238095238095, 0.238095238095] for i in range(len(self.clusterings)): self.assertAlmostEqual( dunn_calculator.evaluate( self.clusterings[i], self.matrix), expected[i],6)
def test_dunn_regression(self): dunn_calculator = DunnCalculator() expected = [0.238095238095, 0.238095238095] for i in range(len(self.clusterings)): self.assertAlmostEqual( dunn_calculator.evaluate(self.clusterings[i], self.matrix), expected[i], 6)