def expand(center, init_instances):
instances_backup = list(init_instances)
instances_backup.remove(center)
index = instances.index(center)
avg_distance = 0
for b in instances_backup:
avg_distance += distance_euclidean(center, b)
avg_distance = avg_distance / len(instances_backup)
for b in instances_backup:
index_b = instances.index(b)
kb = M[index].index(b)
for i in range(0, kb + 1, 1):
c = M[index_b][i]
if c not in init_instances:
distance = distance_euclidean(b, c)
if distance < avg_distance:
init_instances.append(c)
def test_distance():
assert 1 == lof.distance_euclidean((1, 1), (2, 2))
def test_distance():
assert 1 == lof.distance_euclidean((1,1), (2,2))