def calc_medoid(self, points):
centroid = self.calc_centroid(points)
min_d = -1
medoid = [-1,-1]
for p in points:
d = util.hubeny_distance(p, centroid)
if d < min_d or min_d == -1:
min_d = d
medoid = p
return medoid
def calc_dispersion(self, centroid, points):
sum_dist = sum([util.hubeny_distance(centroid, p) for p in points])
n = float(len(points))
return sum_dist/n
