Eod.

tsp/map.py

@@ -6,7 +6,7 @@ class Map(object):
     # and neighbor regions.  We can actually cluster in O(n) when we know how
     # high and wide the clusters are. Once we have that working we go from
     # there
-    CLUSTER_SIZE = 3  # How many points we want per cluster.
+    CLUSTER_SIZE = 5  # How many points we want per cluster.
 
     def __init__(self):
         pass
@@ -131,7 +131,7 @@ class Map(object):
         def plot_points():
             for i, p in enumerate(points):
                 plt.plot(p.x, p.y, '')
-                plt.text(p.x, p.y, '  ' + str(p))
+                # plt.text(p.x, p.y, '  ' + str(p))
                 for nb, _ in p.neighbors:
                     # plt.plot([p.x, nb.x], [p.y, nb.y], 'r--')
                     pass