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''' |
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Created on Jul 1, 2016 |
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@author: alex |
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''' |
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7
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8
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from pyclustering.core.wrapper import *; |
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10
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import types; |
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11
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12
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13
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class c_antcolony_clustering_parameters(Structure): |
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""" |
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double ro; |
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double pheramone_init; |
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unsigned int iterations; |
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unsigned int count_ants; |
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""" |
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_fields_ = [("ro" , c_double), |
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("pheramone_init" , c_double), |
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("iterations" , c_uint), |
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("count_ants" , c_uint) ]; |
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def ant_mean_clustering_process(params, count_clusters, samples): |
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ccore = cdll.LoadLibrary(PATH_DLL_CCORE_64); |
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algorithm_params = c_antcolony_clustering_parameters(); |
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algorithm_params.ro = c_double(params.ro); |
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algorithm_params.pheramone_init = c_double(params.pheramone_init); |
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algorithm_params.iterations = c_uint(params.iterations); |
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algorithm_params.count_ants = c_uint(params.count_ants); |
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algorithm_params = pointer(algorithm_params); |
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p_samples = create_pointer_data(samples) |
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""" |
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Run algorithm |
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""" |
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res = ccore.ant_mean_clustering(p_samples, algorithm_params, count_clusters) |
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res = cast(res, POINTER(clustering_result)); |
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""" |
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Cast result to python view |
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""" |
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pointer_data = cast(res[0].pointer_clusters, POINTER(cluster_representation)) |
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num_clusters = res[0].number_clusters |
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pyResult = [[] for i in range(num_clusters)] |
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for i in range(num_clusters): |
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for j in range(pointer_data[i].number_objects): |
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pyResult[i].append(pointer_data[i].pointer_objects[j]) |
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return pyResult |
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#res = ant_mean_clustering_process(ant_mean_clustering(), 2, [[ 0,0 ],[ 1,1 ],[ 10,10 ],[ 11,11 ],[ -2, -2 ],[ 0.55, -1.26 ],[ 13.25, 12.12 ]]) |
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#print(res) |
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annoviko /
pyclustering
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