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by Andrei
01:41
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kmedoids()   A

Complexity

Conditions 1

Size

Total Lines 10

Duplication

Lines 0
Ratio 0 %
Metric Value
cc 1
dl 0
loc 10
rs 9.4285
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"""!
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@brief CCORE Wrapper for K-Medoids algorithm (PAM).
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@authors Andrei Novikov ([email protected])
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@date 2014-2016
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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;
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from pyclustering.core.wrapper import PATH_DLL_CCORE_64, create_pointer_data, extract_pyclustering_package;
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def kmedoids(sample, tolerance):
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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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    package = ccore.kmedoids_algorithm(pointer_data, c_double(tolerance));
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    result = extract_pyclustering_package(package);
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    ccore.free_pyclustering_package(package);
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    return result;