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"""!
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@brief Data dimension analyser.
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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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class dimension_info:
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"""!
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"""
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def __init__(self, data):
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if (data is None):
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raise NameError("Information about dimension of 'None' cannot be obtained");
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self.__data = data;
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self.__dimensions = None;
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self.__maximum_dimension = None;
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self.__minimum_dimension = None;
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self.__width_dimension = None;
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self.__center_dimension = None;
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def get_dimensions(self):
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if (self.__dimensions is None):
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self.__calculate_dimension();
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return self.__dimensions;
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def get_maximum_coordinate(self):
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if (self.__maximum_dimension is None):
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self.__calculate_maxmin_dimension_coordinate();
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return self.__maximum_dimension;
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def get_minimum_coordinate(self):
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if (self.__minimum_dimension is None):
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self.__calculate_maxmin_dimension_coordinate();
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return self.__minimum_dimension;
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def get_width(self):
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if (self.__width_dimension is None):
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self.__calculate_width();
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return self.__width_dimension;
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def get_center(self):
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if (self.__center_dimension is None):
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self.__calculate_center();
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return self.__center_dimension;
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def __calculate_dimension(self):
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self.__dimensions = len(self.__data[0]);
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def __calculate_maxmin_dimension_coordinate(self):
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self.__maximum_dimension = [self.__data[0][i] for i in range(self.get_dimensions())];
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self.__minimum_dimension = [self.__data[0][i] for i in range(self.get_dimensions())];
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for i in range(len(self.__data)):
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for dim in range(self.get_dimensions()):
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if (self.__maximum_dimension[dim] < self.__data[i][dim]):
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self.__maximum_dimension[dim] = self.__data[i][dim];
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elif (self.__minimum_dimension[dim] > self.__data[i][dim]):
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self.__minimum_dimension[dim] = self.__data[i][dim];
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def __calculate_width(self):
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self.__width_dimension = [0] * self.get_dimensions();
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for dim in range(self.get_dimensions()):
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self.__width_dimension[dim] = self.get_maximum_coordinate()[dim] - self.get_minimum_coordinate()[dim];
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def __calculate_center(self):
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self.__center_dimension = [0] * self.get_dimensions();
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for dim in range(self.get_dimensions()):
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self.__center_dimension[dim] = (self.get_maximum_coordinate()[dim] + self.get_minimum_coordinate()[dim]) / 2.0;
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annoviko /
pyclustering
