'How to converge my Affinity Propagation clustering
I am trying to cluster using affinity propagation function from sklearn, and I load the wine dataset from sklearn datasets for practice,but I found the result seems to be divergent more. the following is my coding and output. Is there anyone can help to converge it?
## Affinity Propagate clustering
# preference=-200
af1=AffinityPropagation(damping=0.6, ##damping coefficient
preference=-200)## demo sample numbers
af1.fit(tsne_wine_x)
## output the clustering result
af1.labels_
print("affinitypropagation1:\n each cluster contains sample numbers:",np.unique(af1.labels_,return_counts=True))
print("the center of each cluster:\n",af1.cluster_centers_)
print("cluster effect measurement: %.4f"%v_measure_score(wine_y,af1.labels_))
# prefernence=-300
af2=AffinityPropagation(damping=0.6, ##damping coefficient
preference=-300,)## demo sample numbers
af2.fit(tsne_wine_x)
## output the clustering result
af2.labels_
print("affinitypropagation1:\n each cluster contains sample numbers:",np.unique(af1.labels_,return_counts=True))
print("the center of each cluster:\n",af2.cluster_centers_)
print("cluster effect measurement: %.4f"%v_measure_score(wine_y,af2.labels_))
output as follows:
affinitypropagation1:
each cluster contains sample numbers: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98],
dtype=int64), array([1, 1, 3, 1, 1, 4, 1, 1, 2, 2, 2, 3, 2, 3, 2, 1, 3, 1, 1, 3, 3, 3,
1, 1, 3, 2, 1, 1, 2, 2, 2, 1, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 3, 4, 1, 3, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 4,
1, 1, 1, 1, 2, 3, 4, 1, 1, 1, 2, 3, 3, 2, 2, 1, 1, 3, 3, 1, 2, 1,
2, 2, 3, 4, 3, 2, 2, 1, 2, 3, 1], dtype=int64))
the center of each cluster:
[[-48.37732 49.8868 39.811954 ]
[-84.306404 50.147316 2.9238791 ]
[-46.66801 23.65031 50.640266 ]
[-60.248363 11.670533 37.593285 ]
[-47.796566 43.252514 -12.578477 ]
[-50.23032 27.095114 6.4264565 ]
[-76.76005 72.59616 0.5859382 ]
[-80.56087 66.409424 11.2069435 ]
[-62.626854 32.25013 35.819237 ]
[-89.04437 40.46149 18.92361 ]
[-28.621351 57.653408 28.343428 ]
[-35.21245 70.90178 17.74187 ]
[-35.0851 37.742958 11.84398 ]
[-33.479362 28.0133 31.076523 ]
[-61.80723 18.310999 9.577278 ]
[-63.085262 47.821674 39.784695 ]
[-67.42685 45.943687 21.418894 ]
[-47.040802 8.935648 3.1647332 ]
[-68.00408 22.875055 47.69129 ]
[-49.070473 18.820766 26.645557 ]
[-25.46838 25.739283 -4.831076 ]
[-32.210728 3.1240163 50.45797 ]
[-46.79468 1.9864745 45.20599 ]
[-56.063374 69.330536 -0.93588656]
[-44.301167 57.627472 -2.4235806 ]
[-53.07226 46.984806 26.32008 ]
[-41.711025 61.147305 -17.281782 ]
[-76.76144 39.251816 -2.1477308 ]
[-69.82143 21.194693 32.508224 ]
[-38.13094 55.14129 15.620863 ]
[-69.9092 50.146976 5.6761813 ]
[ 7.61815 20.22642 -27.340418 ]
[-12.432432 -23.8001 -29.112923 ]
[ 19.059591 22.08616 -12.335601 ]
[ -0.5897775 35.889137 14.374662 ]
[-23.867905 -23.982252 -14.178696 ]
[-32.684708 3.7091634 14.405653 ]
[ -3.8368435 38.634743 -2.1947575 ]
[ 11.202627 19.6814 3.425875 ]
[ 17.983934 -3.0506208 -25.795122 ]
[-26.316021 35.951195 40.836388 ]
[ 20.060356 19.177086 19.397114 ]
[-55.014297 40.634064 57.835793 ]
[ -5.2303553 37.534954 30.04933 ]
[ 0.6572533 6.5139194 -19.428473 ]
[ 3.7029684 -7.5797668 -22.29294 ]
[ -8.820529 68.6681 -7.232877 ]
[-28.667152 -22.649517 8.827736 ]
[ 16.47699 -38.838287 1.3740513 ]
[-12.157445 6.2976418 7.6571326 ]
[-10.477531 -22.861034 12.085887 ]
[ -0.1971891 -30.422308 -7.410164 ]
[ -8.285736 12.634719 24.412964 ]
[ -0.2980544 25.290798 24.547184 ]
[ -5.9154077 22.673038 -0.90580344]
[-20.64679 4.5603685 30.143646 ]
[ -7.3200207 19.651293 -16.010586 ]
[ 10.039293 8.335278 -7.3766937 ]
[ -0.736834 -39.12756 10.237442 ]
[ 21.964504 -1.0646577 18.783588 ]
[ -2.5084066 18.652403 45.84101 ]
[-22.692217 -38.27734 -11.620276 ]
[-19.597004 -10.985454 11.255304 ]
[-11.036084 -13.647176 24.503866 ]
[-26.762087 -5.6738124 -6.332348 ]
[ 10.927241 3.040745 9.4539585 ]
[ -3.3703058 -3.1905448 14.812418 ]
[ 17.485968 -21.609922 -13.758996 ]
[ 15.278203 -11.606305 8.411929 ]
[-37.36634 27.456478 67.03539 ]
[-13.546518 -18.410439 42.766376 ]
[ -4.789019 2.317888 56.976112 ]
[ 8.111803 -2.2190175 26.131933 ]
[ -8.125454 -31.939026 29.90172 ]
[ 3.1642723 -15.800813 23.292624 ]
[ 16.666946 -26.291895 15.783055 ]
[ 24.662346 -3.9587426 -42.155624 ]
[ 34.09528 -10.4245205 -34.60794 ]
[ 14.352393 -36.74348 -27.99642 ]
[ 28.13137 -54.048122 9.151959 ]
[ 11.693304 -51.79257 -13.341043 ]
[ 44.30936 -6.20026 -20.332747 ]
[ 42.82923 -26.731495 3.934676 ]
[ 47.411762 -42.57104 -23.415197 ]
[ 58.058033 -11.024979 -41.63126 ]
[ 68.270676 -36.73454 -7.052488 ]
[ 55.19679 -52.89744 -3.718941 ]
[ 32.338867 -68.84859 -12.2562895 ]
[ 79.16199 -43.01711 -33.022163 ]
[ 45.75389 -56.95327 -20.3191 ]
[ 23.29159 -54.37454 -8.336856 ]
[ 34.642002 -19.135109 -23.69629 ]
[ 38.789536 -35.04331 -8.224047 ]
[ 65.04322 -27.289017 -25.34089 ]
[ 39.674923 -49.487076 -34.37203 ]
[ 70.68941 -18.826406 -37.9513 ]
[ 55.52562 -44.642315 -34.88949 ]
[ 56.64951 -15.53858 -14.366445 ]
[ 63.755486 -48.67671 -21.341312 ]]
cluster effect measurement: 0.3884
affinitypropagation1:
each cluster contains sample numbers: (array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50,
51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98],
dtype=int64), array([1, 1, 3, 1, 1, 4, 1, 1, 2, 2, 2, 3, 2, 3, 2, 1, 3, 1, 1, 3, 3, 3,
1, 1, 3, 2, 1, 1, 2, 2, 2, 1, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 3, 4, 1, 3, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 4,
1, 1, 1, 1, 2, 3, 4, 1, 1, 1, 2, 3, 3, 2, 2, 1, 1, 3, 3, 1, 2, 1,
2, 2, 3, 4, 3, 2, 2, 1, 2, 3, 1], dtype=int64))
the center of each cluster:
[[-48.37732 49.8868 39.811954 ]
[-77.60652 39.0176 12.058848 ]
[-50.23032 27.095114 6.4264565]
[-80.56087 66.409424 11.2069435]
[-62.626854 32.25013 35.819237 ]
[-33.479362 28.0133 31.076523 ]
[-49.672836 27.080494 61.710384 ]
[-41.977703 41.215004 1.2116675]
[-67.42685 45.943687 21.418894 ]
[-42.672035 15.583638 16.082884 ]
[-25.46838 25.739283 -4.831076 ]
[-29.469215 68.762985 33.649837 ]
[-32.210728 3.1240163 50.45797 ]
[-44.301167 57.627472 -2.4235806]
[-69.82143 21.194693 32.508224 ]
[-46.96176 64.296326 12.42852 ]
[-69.9092 50.146976 5.6761813]
[-12.432432 -23.8001 -29.112923 ]
[ 11.202627 19.6814 3.425875 ]
[ 20.060356 19.177086 19.397114 ]
[ 5.761611 24.733463 -11.186087 ]
[ 3.7029684 -7.5797668 -22.29294 ]
[ -8.820529 68.6681 -7.232877 ]
[-18.106163 -6.8944445 40.884716 ]
[-28.667152 -22.649517 8.827736 ]
[ 16.47699 -38.838287 1.3740513]
[-12.157445 6.2976418 7.6571326]
[-10.79391 -30.020985 1.5433844]
[ -0.2980544 25.290798 24.547184 ]
[ -8.048084 43.399197 13.030614 ]
[ -2.5084066 18.652403 45.84101 ]
[-22.692217 -38.27734 -11.620276 ]
[-26.762087 -5.6738124 -6.332348 ]
[ 10.927241 3.040745 9.4539585]
[ 17.485968 -21.609922 -13.758996 ]
[ -4.789019 2.317888 56.976112 ]
[ 8.111803 -2.2190175 26.131933 ]
[ -8.125454 -31.939026 29.90172 ]
[ 16.666946 -26.291895 15.783055 ]
[ 24.662346 -3.9587426 -42.155624 ]
[ 14.352393 -36.74348 -27.99642 ]
[ 28.13137 -54.048122 9.151959 ]
[ 42.158104 -49.218536 -11.018628 ]
[ 58.058033 -11.024979 -41.63126 ]
[ 55.272266 -39.948742 -12.402799 ]
[ 32.338867 -68.84859 -12.2562895]
[ 79.16199 -43.01711 -33.022163 ]
[ 23.29159 -54.37454 -8.336856 ]
[ 34.642002 -19.135109 -23.69629 ]
[ 38.789536 -35.04331 -8.224047 ]
[ 39.674923 -49.487076 -34.37203 ]
[ 59.349792 -29.687374 -36.61007 ]
[ 56.64951 -15.53858 -14.366445 ]]
cluster effect measurement: 0.4150
I wonder if the problem is the damping coefficient set. Anyone can help?
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
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