code: def __update_membership(self):
          
          data_difference = numpy.zeros((len(self.__centers), len(self.__data)))
  
          for i in range(len(self.__centers)):
              data_difference[i] = numpy.sum(numpy.square(self.__data - self.__centers[i]), axis=1)
  
          for i in range(len(self.__data)):
              for j in range(len(self.__centers)):
                  divider = sum([pow(data_difference[j][i] / data_difference[k][i], self.__degree) for k in range(len(self.__centers)) if data_difference[k][i] != 0.0])
  
                  if divider != 0.0:
                      self.__membership[i][j] = 1.0 / divider
                  else:
                      self.__membership[i][j] = 1.0
docs: !
          @brief Update membership for each point in line with current cluster centers.