def test_partial_fit_in_batches_of_two_clusters_with_outliers():
# given
dbscan = DBScanStream(eps=1.42, min_samples=2)
X = np.array([[1, 1],
[2, 2],
[5, 6],
[6, 7],
[-1, -2],
[56, 34]])
# when
for i in range(0, len(X), 2):
dbscan.partial_fit(X[i:i + 2])
# then (outliers label is -1)
assert np.array_equal(dbscan.labels_, np.array([0, 0, 1, 1, -1, -1]))
def test_partial_fit_of_two_clusters_with_outliers():
# given
dbscan = DBScanStream(eps=1.42, min_samples=2)
X = np.array([[1, 1],
[2, 2],
[5, 6],
[6, 7],
[-1, -2],
[56, 34]])
# when
for point in X:
dbscan.partial_fit([point])
# then (outliers label is -1)
assert np.array_equal(dbscan.labels_, np.array([0, 0, 1, 1, -1, -1]))