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"""! |
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@brief CCORE Wrapper for ROCK algorithm. |
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@authors Andrei Novikov ([email protected]) |
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@date 2014-2017 |
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@copyright GNU Public License |
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@cond GNU_PUBLIC_LICENSE |
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PyClustering is free software: you can redistribute it and/or modify |
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it under the terms of the GNU General Public License as published by |
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the Free Software Foundation, either version 3 of the License, or |
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(at your option) any later version. |
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PyClustering is distributed in the hope that it will be useful, |
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but WITHOUT ANY WARRANTY; without even the implied warranty of |
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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GNU General Public License for more details. |
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You should have received a copy of the GNU General Public License |
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along with this program. If not, see <http://www.gnu.org/licenses/>. |
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@endcond |
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""" |
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from ctypes import cdll, c_double, c_size_t, POINTER; |
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from pyclustering.core.wrapper import PATH_DLL_CCORE_64, create_pointer_data, extract_pyclustering_package, pyclustering_package; |
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def rock(sample, eps, number_clusters, threshold): |
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""" |
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@brief Clustering algorithm ROCK returns allocated clusters and noise that are consisted from input data. |
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@details Calculation is performed via CCORE (C/C++ part of the pyclustering)." |
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@param[in] sample: input data - list of points where each point is represented by list of coordinates. |
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@param[in] eps: connectivity radius (similarity threshold), points are neighbors if distance between them is less than connectivity radius. |
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@param[in] number_clusters: defines number of clusters that should be allocated from the input data set. |
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@param[in] threshold: value that defines degree of normalization that influences on choice of clusters for merging during processing. |
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@return List of allocated clusters, each cluster contains indexes of objects in list of data. |
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""" |
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pointer_data = create_pointer_data(sample); |
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ccore = cdll.LoadLibrary(PATH_DLL_CCORE_64); |
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ccore.rock_algorithm.restype = POINTER(pyclustering_package); |
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package = ccore.rock_algorithm(pointer_data, c_double(eps), c_size_t(number_clusters), c_double(threshold)); |
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list_of_clusters = extract_pyclustering_package(package); |
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ccore.free_pyclustering_package(package); |
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return list_of_clusters; |
annoviko /
pyclustering
