#beta= 0.5 p= 0.5 num clusters= 3
linkage completed in  10.798065900802612
#cluster  3 with weight 0.73525
Learned cluster center of cluster 3:  {1: 0, 2: 1, 3: 1, 4: 1, 6: 1, 7: 1, 8: 1, 9: 1, 10: 1, 11: 1} [1, 2, 3, 4, 6, 7, 8, 9, 10, 11]
learned probs [1.65268874e-12 1.65268874e-12 4.28655529e-01 2.59992721e-01
 1.57693556e-01 9.56459768e-02 5.80122174e-02 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [5, 0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11]
cluster label 3 learned center: 
 
sigma= [1, 2, 3, 4, 6, 7, 8, 9, 10, 11]
learned probs (dictionary):

probs= {5: np.float64(1.2151393982292534e-12), 0: np.float64(1.2151393982292534e-12), 1: np.float64(0.31516897753237033), 2: np.float64(0.19115964786366474), 3: np.float64(0.11594418732918328), 4: np.float64(0.0703237044306147), 6: np.float64(0.042653482841736964), 7: np.float64(0.0), 8: np.float64(0.0), 9: np.float64(0.0), 10: np.float64(0.0), 11: np.float64(0.0)}
#cluster  2 with weight 0.2505
Learned cluster center of cluster 2:  {1: 0, 3: 2, 4: 2, 5: 2, 6: 2, 8: 2, 100: 1} [1, 100, 3, 4, 5, 6, 8]
learned probs [4.52382535e-12 4.52382535e-12 5.21744641e-01 0.00000000e+00
 2.17632126e-01 1.32000557e-01 8.00623850e-02 4.85602912e-02
 0.00000000e+00] [2, 0, 1, 100, 3, 4, 5, 6, 8]
cluster label 2 learned center: 
 
sigma= [1, 100, 3, 4, 5, 6, 8]
learned probs (dictionary):

probs= {2: np.float64(1.1332182497201333e-12), 0: np.float64(1.1332182497201333e-12), 1: np.float64(0.1306970324840953), 100: np.float64(0.0), 3: np.float64(0.054516847603669996), 4: np.float64(0.03306613954250706), 5: np.float64(0.020055627430866804), 6: np.float64(0.012164352936594427), 8: np.float64(0.0)}
#cluster  1 with weight 0.01425
Learned cluster center of cluster 1:  {1: 0, 2: 1, 3: 3, 6: 9, 7: 1, 9: 1, 10: 8, 11: 3, 13: 5, 14: 5, 15: 1, 16: 9, 18: 9, 19: 8, 20: 9, 22: 6, 27: 12, 28: 14, 55: 15, 71: 14, 88: 14, 99: 16, 100: 9} [1, 2, 7, 9, 15, 3, 11, 13, 14, 22, 10, 19, 6, 16, 18, 20, 100, 27, 28, 71, 88, 55, 99]
learned probs [8.57396839e-13 8.57396839e-13 8.57396839e-13 5.82999722e-01
 3.53607206e-01 0.00000000e+00 0.00000000e+00 0.00000000e+00
 6.13779459e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.01512679e-03
 0.00000000e+00 0.00000000e+00] [4, 5, 0, 1, 2, 7, 9, 15, 3, 11, 13, 14, 22, 10, 19, 6, 16, 18]
cluster label 1 learned center: 
 
sigma= [1, 2, 7, 9, 15, 3, 11, 13, 14, 22, 10, 19, 6, 16, 18]
learned probs (dictionary):

probs= {4: np.float64(1.2217904960359163e-14), 5: np.float64(1.2217904960359163e-14), 0: np.float64(1.2217904960359163e-14), 1: np.float64(0.008307746032146845), 2: np.float64(0.005038902681603038), 7: np.float64(0.0), 9: np.float64(0.0), 15: np.float64(0.0), 3: np.float64(0.0008746357294230889), 11: np.float64(0.0), 13: np.float64(0.0), 14: np.float64(0.0), 22: np.float64(0.0), 10: np.float64(0.0), 19: np.float64(0.0), 6: np.float64(2.8715556790378186e-05), 16: np.float64(0.0), 18: np.float64(0.0)}
