def step_07_fourth_clustering_by_geography_distance(self):
for threshold in xrange(1, CLUSTERING_MIN_DISTANCE_THRESHOLD + 1):
#print('threshold = %d' % threshold)
prev_group_cnt = 0
for iteration in xrange(10):
group_cnt = 0
for group1 in self.result:
img = Image()
img.lonLat = group1.lonLat
m_value = Group()
m_value.members = [Group()]
m_value.members[0].members = [img]
cluster = Clustering(group1, threshold,
distance_geography_group, m_value,
False)
cluster.run()
group1.members = [
Group(
sum([group3.members
for group3 in group2.members], []))
for group2 in cluster.result
]
group_cnt += len(group1.members)
#print('step_07:group_cnt == %d' % group_cnt)
if prev_group_cnt == group_cnt:
break
else:
prev_group_cnt = group_cnt
return True
