def test_calculate_global_overlap(self):
distance_matrix = CondensedMatrix([1., 0.7, 2.,
0.3, 1.,
0.7])
decomposed_clusters = [{"traj_0":[0],"traj_1":[1]},{"traj_0":[2],"traj_1":[3]}]
self.assertEqual(0., OverlapCalculator.calculate_global_overlap(decomposed_clusters, distance_matrix, 1, 1))
decomposed_clusters = [{"traj_0":[0],"traj_1":[1]}, {"traj_0":[2]}, {"traj_1":[3]}]
self.assertEqual(0., OverlapCalculator.calculate_global_overlap(decomposed_clusters, distance_matrix, 1, 1))
def analyze_clustering(cls, separated_decomposed_clusters, distance_matrix, analysis):
analysis["total_num_clusters"] = 0
analysis["total_num_elements"] = 0
analysis["overlap"] = OverlapCalculator.calculate_global_overlap(mergeSeparatedClusters(separated_decomposed_clusters), distance_matrix, 2, 1)
for cluster_type in separated_decomposed_clusters:
analysis["num_" + cluster_type] = len(separated_decomposed_clusters[cluster_type])
analysis["total_num_clusters"] += analysis["num_" + cluster_type]
analysis["num_" + cluster_type + "_elements"] = numpy.sum([len(getAllElements(separated_decomposed_clusters[cluster_type][dc_id])) for dc_id in separated_decomposed_clusters[cluster_type]])
analysis["total_num_elements"] += analysis["num_" + cluster_type + "_elements"]
return cluster_type
def analyze_clustering(cls, separated_decomposed_clusters, distance_matrix,
analysis):
analysis["total_num_clusters"] = 0
analysis["total_num_elements"] = 0
analysis["overlap"] = OverlapCalculator.calculate_global_overlap(
mergeSeparatedClusters(separated_decomposed_clusters),
distance_matrix, 2, 1)
for cluster_type in separated_decomposed_clusters:
analysis["num_" + cluster_type] = len(
separated_decomposed_clusters[cluster_type])
analysis["total_num_clusters"] += analysis["num_" + cluster_type]
analysis["num_" + cluster_type + "_elements"] = numpy.sum([
len(
getAllElements(
separated_decomposed_clusters[cluster_type][dc_id]))
for dc_id in separated_decomposed_clusters[cluster_type]
])
analysis["total_num_elements"] += analysis["num_" + cluster_type +
"_elements"]
return cluster_type
