def from_dic(cls, clustering_dic):
"""
Creates a clustering from a clustering dictionary describing it (as reverse operation of
'to_dic').
"""
clusters_dic = clustering_dic["clusters"];
clusters = []
for cluster_dic in clusters_dic:
clusters.append(Cluster.from_dic(cluster_dic))
return Clustering(clusters)
def test_calculate_biased_medoid_scenario(self):
cluster = Cluster.from_dic({
"prototype": 28,
"elements": "0:46, 49, 51, 53, 57:58, 62:67",
"id": "cluster_0"
})
matrix = CondensedMatrix(list(numpy.asfarray(numpy.load(os.path.join(test_data.__path__[0],"matrix.npy")))))
self.assertEqual(cluster.prototype, cluster.calculate_medoid(matrix))
cluster = Cluster.from_dic({
"prototype": 54,
"elements": "0:117, 119:135, 138:139, 141, 143, 145:146, 148:150, 153, 155:156, 167:168, 170:172, 175, 177, 190, 193, 212, 215, 234",
"id": "cluster_0"
})
self.assertEqual(cluster.prototype, cluster.calculate_medoid(matrix))
cluster = Cluster.from_dic({
"prototype": 1604,
"elements": "224, 290, 312, 334, 378, 422, 444, 466, 468, 488, 504, 526, 645, 782, 799, 821, 843, 953, 1208, 1254, 1276, 1291, 1313, 1320, 1357, 1445, 1450, 1467, 1472, 1489, 1494, 1516, 1538, 1560, 1582, 1591, 1604, 1613, 1626, 1635, 1671, 1693, 1767, 1789, 1811, 1833, 1841, 1855, 1877, 1899, 1921, 1943, 1965, 2007, 2049, 2070, 2091, 2112, 2203",
"id": "cluster_18"
})
self.assertEqual(cluster.prototype, cluster.calculate_medoid(matrix))
def test_from_dic(self):
clusters = [
{
"prototype": 400,
"elements": "400:410, 0, 1 ,2,3"
},
{
"prototype": 500,
"elements": "4,500:510, 5, 6:10, 11"
}
]
expected_elements =[
[400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 0, 1, 2, 3],
[4, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 5, 6, 7, 8, 9, 10, 11]
]
for i in range(len(clusters)):
self.assertEqual(Cluster.from_dic(clusters[i]).all_elements, expected_elements[i])
