def test_maxinconsts_one_cluster_linkage(self):
# Tests maxinconsts(Z, R) on linkage with one cluster.
Z = np.asarray([[0, 1, 0.3, 4]], dtype=np.double)
R = np.asarray([[0, 0, 0, 0.3]], dtype=np.double)
MD = maxinconsts(Z, R)
expectedMD = calculate_maximum_inconsistencies(Z, R)
assert_allclose(MD, expectedMD, atol=1e-15)
def test_maxinconsts_one_cluster_linkage(self):
# Tests maxinconsts(Z, R) on linkage with one cluster.
Z = np.asarray([[0, 1, 0.3, 4]], dtype=np.double)
R = np.asarray([[0, 0, 0, 0.3]], dtype=np.double)
MD = maxinconsts(Z, R)
expectedMD = calculate_maximum_inconsistencies(Z, R)
assert_allclose(MD, expectedMD, atol=1e-15)
def check_maxinconsts_Q_linkage(self, method):
# Tests maxinconsts(Z, R) on the Q data set
X = hierarchy_test_data.Q_X
Z = linkage(X, method)
R = inconsistent(Z)
MD = maxinconsts(Z, R)
expectedMD = calculate_maximum_inconsistencies(Z, R)
assert_allclose(MD, expectedMD, atol=1e-15)
def check_maxinconsts_Q_linkage(self, method):
# Tests maxinconsts(Z, R) on the Q data set
X = hierarchy_test_data.Q_X
Z = linkage(X, method)
R = inconsistent(Z)
MD = maxinconsts(Z, R)
expectedMD = calculate_maximum_inconsistencies(Z, R)
assert_allclose(MD, expectedMD, atol=1e-15)
