#beta= 0.5 p= 0.05 num clusters= 3
linkage completed in  10.722705125808716
#cluster  2 with weight 0.99925
Learned cluster center of cluster 2:  {1: 0, 2: 1, 3: 1, 4: 1, 5: 1, 6: 1, 7: 1, 8: 1, 10: 1, 100: 1} [1, 2, 3, 4, 5, 6, 7, 8, 10, 100]
learned probs [1.66950943e-04 4.14016308e-01 2.51113585e-01 1.52308088e-01
 9.23795252e-02 5.60310144e-02 3.39845281e-02 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 100]
cluster label 2 learned center: 
 
sigma= [1, 2, 3, 4, 5, 6, 7, 8, 10, 100]
learned probs (dictionary):

probs= {0: np.float64(0.00016682573015255786), 1: np.float64(0.4137057962334197), 2: np.float64(0.25092524951639616), 3: np.float64(0.1521938571277369), 4: np.float64(0.0923102405678965), 5: np.float64(0.055988991109878185), 6: np.float64(0.03395903971451914), 7: np.float64(0.0), 8: np.float64(0.0), 10: np.float64(0.0), 100: np.float64(0.0)}
#cluster  1 with weight 0.0005
Learned cluster center of cluster 1:  {1: 0, 3: 6, 5: 8, 9: 12, 10: 14, 13: 14, 14: 3, 16: 16, 17: 13, 20: 1, 26: 12, 27: 3, 31: 14, 32: 13, 33: 4, 36: 1, 38: 7, 42: 16, 44: 14, 51: 14, 54: 1, 56: 14, 58: 13, 59: 14, 61: 14, 66: 13, 67: 16, 68: 13, 69: 12, 70: 14, 72: 13, 73: 13, 74: 13, 78: 7, 89: 11, 98: 13} [1, 20, 36, 54, 14, 27, 33, 3, 38, 78, 5, 89, 9, 26, 69, 17, 32, 58, 66, 68, 72, 73, 74, 98, 10, 13, 31, 44, 51, 56, 59, 61, 70, 16, 42, 67]
learned probs [8.83858511e-05 8.83858511e-05 8.83858511e-05 8.83858511e-05
 9.17806289e-01 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.57901473e-02
 0.00000000e+00 0.00000000e+00 1.60500199e-02 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00] [2, 4, 6, 0, 1, 20, 36, 54, 14, 27, 33, 3, 38, 78, 5, 89, 9, 26, 69]
cluster label 1 learned center: 
 
sigma= [1, 20, 36, 54, 14, 27, 33, 3, 38, 78, 5, 89, 9, 26, 69]
learned probs (dictionary):

probs= {2: np.float64(4.419292552724387e-08), 4: np.float64(4.419292552724387e-08), 6: np.float64(4.419292552724387e-08), 0: np.float64(4.419292552724387e-08), 1: np.float64(0.000458903144654139), 20: np.float64(0.0), 36: np.float64(0.0), 54: np.float64(0.0), 14: np.float64(0.0), 27: np.float64(0.0), 33: np.float64(0.0), 3: np.float64(3.289507367325126e-05), 38: np.float64(0.0), 78: np.float64(0.0), 5: np.float64(8.025009970492648e-06), 89: np.float64(0.0), 9: np.float64(0.0), 26: np.float64(0.0), 69: np.float64(0.0)}
#cluster  3 with weight 0.00025
Learned cluster center of cluster 3:  {1: 0, 3: 29, 4: 2, 6: 4, 8: 23, 9: 5, 10: 31, 11: 23, 15: 30, 17: 27, 18: 10, 21: 31, 23: 28, 24: 23, 25: 7, 26: 23, 27: 34, 28: 30, 29: 32, 30: 25, 31: 28, 33: 1, 34: 25, 35: 27, 36: 27, 38: 9, 39: 32, 40: 25, 42: 24, 43: 31, 44: 27, 45: 6, 46: 8, 48: 23, 49: 31, 50: 32, 51: 17, 54: 3, 55: 27, 57: 29, 59: 29, 61: 28, 63: 28, 64: 27, 66: 24, 67: 20, 68: 30, 69: 24, 73: 22, 74: 34, 75: 26, 76: 29, 77: 29, 80: 24, 82: 22, 83: 34, 84: 28, 86: 27, 87: 31, 89: 30, 90: 28, 95: 30, 100: 24} [1, 33, 4, 54, 6, 9, 45, 25, 46, 38, 18, 51, 67, 73, 82, 8, 11, 24, 26, 48, 42, 66, 69, 80, 100, 30, 34, 40, 75, 17, 35, 36, 44, 55, 64, 86, 23, 31, 61, 63, 84, 90, 3, 57, 59, 76, 77, 15, 28, 68, 89, 95, 10, 21, 43, 49, 87, 29, 39, 50, 27, 74, 83]
learned probs [3.18294520e-05 3.18294520e-05 3.18294520e-05 3.18294520e-05
 6.25830745e-01 0.00000000e+00 2.66907752e-01 0.00000000e+00
 1.07134184e-01 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
 0.00000000e+00 0.00000000e+00 0.00000000e+00] [2, 3, 5, 0, 1, 33, 4, 54, 6, 9, 45, 25, 46, 38, 18, 51, 67, 73, 82]
cluster label 3 learned center: 
 
sigma= [1, 33, 4, 54, 6, 9, 45, 25, 46, 38, 18, 51, 67, 73, 82]
learned probs (dictionary):

probs= {2: np.float64(7.957363002207053e-09), 3: np.float64(7.957363002207053e-09), 5: np.float64(7.957363002207053e-09), 0: np.float64(7.957363002207053e-09), 1: np.float64(0.00015645768635128972), 33: np.float64(0.0), 4: np.float64(6.67269381011873e-05), 54: np.float64(0.0), 6: np.float64(2.678354609551325e-05), 9: np.float64(0.0), 45: np.float64(0.0), 25: np.float64(0.0), 46: np.float64(0.0), 38: np.float64(0.0), 18: np.float64(0.0), 51: np.float64(0.0), 67: np.float64(0.0), 73: np.float64(0.0), 82: np.float64(0.0)}
