docs: def xmeans(cls, initial_centers=None, kmax=20, tolerance=0.025, criterion=splitting_type.BAYESIAN_INFORMATION_CRITERION, ccore=False):
          """
          Constructor of the x-means clustering.rst algorithm
  
          :param initial_centers: Initial coordinates of centers of clusters that are represented by list: [center1, center2, ...]
          Note: The dimensions of the initial centers should be same as of the dataset.
          :param kmax: Maximum number of clusters that can be allocated.
          :param tolerance: Stop condition for each iteration: if maximum value of change of centers of clusters is less than tolerance than algorithm will stop processing
          :param criterion: Type of splitting creation.
          :param ccore: Defines should be CCORE (C++ pyclustering library) used instead of Python code or not.
          :return: returns the clustering.rst object
          """
          model = xmeans(None, initial_centers, kmax, tolerance, criterion, ccore)
          return cls(model)