points = []
points.append([1,1])
points.append([1.5,1])
points.append([1.8,1.5])
points.append([2.1,1])
points.append([3.1,2])
points.append([4.1,2])
points.append([5.1,2])
points.append([10,10])
points.append([11,10.5])
points.append([9.5,11])
points.append([9.9,11.4])
points.append([15.0, 17.0])
points.append([15.0, 17.0])
points.append([7.5, -5.0])
dbscan = DBSCANClusterer()
#Small hacks..in normal usage never set td_matrix by urself
#and never populate a dummy document_dict
dbscan.td_matrix = points
dbscan.document_dict = OrderedDict( [('0','dummy'), ('1', 'dummy'), ('2', 'dummy'),('3', 'dummy'),('4', 'dummy'),('5', 'dummy'),
('6', 'dummy'),('7', 'dummy'),('8', 'dummy'),('9', 'dummy'),('10', 'dummy'),('11', 'dummy'),('12', 'dummy'),('13', 'dummy')])
class Test_Dbscan_clustering(unittest.TestCase):
def test_dbscan_cluster(self):
clusters = dbscan.run(epsilon, min_pts)
print '\n========== Results of Clustering ============='
for cluster, members in clusters.iteritems():
print '\n--------Cluster %d---------' % cluster
for point in members:
print point
