本文整理汇总了Python中scipy.cluster.hierarchy.is_isomorphic函数的典型用法代码示例。如果您正苦于以下问题：Python is_isomorphic函数的具体用法？Python is_isomorphic怎么用？Python is_isomorphic使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了is_isomorphic函数的12个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: help_is_isomorphic_randperm
def help_is_isomorphic_randperm(self, nobs, nclusters, noniso=False, nerrors=0):
for k in range(3):
a = np.int_(np.random.rand(nobs) * nclusters)
b = np.zeros(a.size, dtype=np.int_)
P = np.random.permutation(nclusters)
for i in xrange(0, a.shape[0]):
b[i] = P[a[i]]
if noniso:
Q = np.random.permutation(nobs)
b[Q[0:nerrors]] += 1
b[Q[0:nerrors]] %= nclusters
assert_(is_isomorphic(a, b) == (not noniso))
assert_(is_isomorphic(b, a) == (not noniso))示例2: check_fcluster
def check_fcluster(self, t, criterion):
# Tests fcluster(Z, criterion=criterion, t=t) on a random 3-cluster data set.
expectedT = np.int_(eo['fclusterdata-%s-%d' % (criterion, t)])
X = eo['Q-X']
Y = pdist(X)
Z = linkage(Y)
T = fcluster(Z, criterion=criterion, t=t)
assert_(is_isomorphic(T, expectedT))示例3: check_fcluster_monocrit
def check_fcluster_monocrit(self, t, criterion):
# Tests fcluster(Z, criterion='monocrit'/'maxclust_monocrit', t=t,
# monicrit=maxdists(Z)) on a random 3-cluster data set.
expectedT = np.int_(eo['fcluster-%s-%d' % (criterion, t)])
X = eo['Q-X']
Y = pdist(X)
Z = linkage(Y)
T = fcluster(Z, criterion=criterion, t=t, monocrit=maxdists(Z))
assert_(is_isomorphic(T, expectedT))示例4: test_is_isomorphic_4C
def test_is_isomorphic_4C(self):
# Tests is_isomorphic on test case #4C (3 flat clusters, different labelings, isomorphic)
a = [7, 2, 3]
b = [6, 3, 2]
assert_(is_isomorphic(a, b))
assert_(is_isomorphic(b, a))示例5: test_is_isomorphic_4B
def test_is_isomorphic_4B(self):
# Tests is_isomorphic on test case #4B (3 flat clusters, different labelings, nonisomorphic)
a = [1, 2, 3, 3]
b = [1, 3, 2, 3]
assert_(is_isomorphic(a, b) == False)
assert_(is_isomorphic(b, a) == False)示例6: test_is_isomorphic_3
def test_is_isomorphic_3(self):
# Tests is_isomorphic on test case #3 (no flat clusters)
a = []
b = []
assert_(is_isomorphic(a, b))示例7: test_is_isomorphic_2
def test_is_isomorphic_2(self):
# Tests is_isomorphic on test case #2 (two flat clusters, different labelings)
a = [1, 7, 1]
b = [2, 3, 2]
assert_(is_isomorphic(a, b))
assert_(is_isomorphic(b, a))示例8: test_is_isomorphic_1
def test_is_isomorphic_1(self):
# Tests is_isomorphic on test case #1 (one flat cluster, different labellings)
a = [1, 1, 1]
b = [2, 2, 2]
assert_(is_isomorphic(a, b))
assert_(is_isomorphic(b, a))示例9: check_fcluster_maxclust_monocrit
def check_fcluster_maxclust_monocrit(self, t):
expectedT = hierarchy_test_data.fcluster_maxclust[t]
Z = single(hierarchy_test_data.Q_X)
T = fcluster(Z, t, criterion='maxclust_monocrit', monocrit=maxdists(Z))
assert_(is_isomorphic(T, expectedT))示例10: check_fcluster
def check_fcluster(self, t, criterion):
# Tests fcluster(Z, criterion=criterion, t=t) on a random 3-cluster data set.
expectedT = getattr(hierarchy_test_data, 'fcluster_' + criterion)[t]
Z = single(hierarchy_test_data.Q_X)
T = fcluster(Z, criterion=criterion, t=t)
assert_(is_isomorphic(T, expectedT))示例11: test_is_isomorphic_7
def test_is_isomorphic_7(self):
# Regression test for gh-6271
assert_(not is_isomorphic([1, 2, 3], [1, 1, 1]))示例12: check_fclusterdata
def check_fclusterdata(self, t, criterion):
# Tests fclusterdata(X, criterion=criterion, t=t) on a random 3-cluster data set.
expectedT = getattr(hierarchy_test_data, "fcluster_" + criterion)[t]
X = hierarchy_test_data.Q_X
T = fclusterdata(X, criterion=criterion, t=t)
assert_(is_isomorphic(T, expectedT))