subscript = len(new_cost_function) - 1
t_temp = new_cost_function[subscript] - new_cost_function[subscript - 1]
diff = abs(t_temp)
print 'Diff is :', diff
if (diff <= 0.1):
print 'center assigned for cluster1 is:', c[0]
print 'center assigned for cluster2 is:', c[1]
print 'center assigned for cluster3 is:', c[2]
print 'center assigned for cluster4 is:', c[3]
break
c[:] = []
""" Finding L1 median for the four clusters and updating the centers"""
min_val1, temp1 = HC.l1_Median(cluster1)
c += temp1
#print 'Min now is :', min_val1
#print 'C now is :', c
min_val2, temp2 = HC.l1_Median(cluster2)
c += temp2
#print 'Min now is :', min_val2
#print 'C now is :', c
min_val3, temp3 = HC.l1_Median(cluster3)
c += temp3
#print 'Min now is :', min_val3
#print 'C now is :', c
min_val4, temp4 = HC.l1_Median(cluster4)
subscript = len(new_cost_function) - 1
t_temp = new_cost_function[subscript] - new_cost_function[subscript - 1]
diff = abs(t_temp)
print "Diff is :", diff
if diff <= 0.1:
print "center assigned for cluster1 is:", c[0]
print "center assigned for cluster2 is:", c[1]
print "center assigned for cluster3 is:", c[2]
print "center assigned for cluster4 is:", c[3]
break
c[:] = []
""" Finding L1 median for the four clusters and updating the centers"""
min_val1, temp1 = HC.l1_Median(cluster1)
c += temp1
min_val2, temp2 = HC.l1_Median(cluster2)
c += temp2
min_val3, temp3 = HC.l1_Median(cluster3)
c += temp3
min_val4, temp4 = HC.l1_Median(cluster4)
c += temp4
min_val5, temp5 = HC.l1_Median(cluster5)
c += temp5
# print 'Min now is :', min_val4
