def test_clustering_sample_simple_1_noise_only(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 1000.0,
[], 10, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
6,
0.0, [],
10,
False,
amount_threshold=20)
def test_clustering_sample_simple_5(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 8, 0.0,
[15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 7, 0.0,
[15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 6, 0.0,
[15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 5, 0.0,
[15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 1, 0.0,
[60], 0, False)
def test_clustering_sample_simple_3(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 7, 0.0,
[10, 10, 10, 30], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 8, 0.0,
[10, 10, 10, 30], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, 0.0,
[60], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 6, 500.0,
[], 60, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3,
6,
0.0, [],
60,
False,
amount_threshold=100)
def test_clustering_sample_simple_10(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 8, 0.0,
[11, 11, 11], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 7, 0.0,
[11, 11, 11], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 2, 0.0,
[33], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 1, 0.0,
[33], 0, False)
def test_clustering_sample_simple_2(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 7, 0.0,
[5, 8, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 0.0,
[5, 8, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 0.0,
[23], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 500.0,
[], 23, False)
def test_clustering_similar_points(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 8, 0.0,
[5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 7, 0.0,
[5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 5, 0.0,
[5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 2, 0.0,
[15], 0, False)
def test_clustering_three_dimensional_data1(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 8, 0.0,
[10, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 7, 0.0,
[10, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 0.0,
[20], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1, 0.0,
[20], 0, False)
def test_clustering_sample_simple_1(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0.0,
[5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 7, 0.0,
[5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 0.0,
[5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 5, 0.0,
[5, 5], 0, False)
def test_clustering_sample_simple_3(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 7, 0.0, [10, 10, 10, 30], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 8, 0.0, [10, 10, 10, 30], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 1, 0.0, [60], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 6, 500.0, [], 60, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 6, 0.0, [], 60, False, amount_threshold=100)
def test_clustering_sample_simple_2(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 7, 0.0, [5, 8, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 0.0, [5, 8, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 1, 0.0, [23], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 6, 500.0, [], 23, False)
def test_clustering_sample_simple_1_noise_only(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 1000.0, [], 10, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 0.0, [], 10, False, amount_threshold=20)
def test_clustering_sample_simple_10(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 8, 0.0, [11, 11, 11], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 7, 0.0, [11, 11, 11], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 2, 0.0, [33], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE10, 1, 0.0, [33], 0, False)
def test_clustering_one_dimensional_data2(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 7, 0.0, [15, 20, 30, 80], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE8, 2, 0.0, [145], 0, False)
def test_clustering_sample_simple_5(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 8, 0.0, [15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 7, 0.0, [15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 6, 0.0, [15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 5, 0.0, [15, 15, 15, 15], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 1, 0.0, [60], 0, False)
def test_clustering_similar_points(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 8, 0.0, [5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 7, 0.0, [5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 5, 0.0, [5, 5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE12, 2, 0.0, [15], 0, False)
def test_clustering_sample_simple_3_half_noise(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 2.5, [30], 30, False)
def test_clustering_sample_simple_4_one_cluster(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 7, 0.0, [75], 0, False)
def test_clustering_zero_column(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 6, 0.0, [5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE13, 1, 0.0, [10], 0, False)
def test_clustering_one_dimensional_data1(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 4, 0.0, [10, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE7, 2, 0.0, [20], 0, False)
def test_clustering_sample_simple_1(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 8, 0.0, [5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 7, 0.0, [5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 6, 0.0, [5, 5], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 5, 0.0, [5, 5], 0, False)
def test_clustering_one_dimensional_data_3_Similar(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 7, 0.0, [10, 20], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE9, 2, 0.0, [30], 0, False)
def test_clustering_sample_simple_1_one_cluster(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 1, 0.0, [10], 0, False)
def test_clustering_three_dimensional_data1(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 8, 0.0, [10, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 7, 0.0, [10, 10], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 2, 0.0, [20], 0, False)
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE11, 1, 0.0, [20], 0, False)
def test_clustering_diagonal_neighbors(self):
bang_test_template.clustering(SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 3, 0.0, [10], 0, False)