def compute_laplacian_matrix(self, copy=True, return_lapsym=False, **kwargs):
        if self.affinity_matrix is None:
            self.compute_affinity_matrix()

        kwds = self.laplacian_kwds.copy()
        kwds.update(kwargs)
        kwds['full_output'] = return_lapsym
        result = compute_laplacian_matrix(self.affinity_matrix,
                                          self.laplacian_method,
                                          **kwds)
        if return_lapsym:
            (self.laplacian_matrix,
             self.laplacian_symmetric,
             self.laplacian_weights) = result
        else:
            self.laplacian_matrix = result

        if copy:
            return self.laplacian_matrix.copy()
        else:
            return self.laplacian_matrix
Note: this function will compute the laplacian matrix. In order to acquire
dataset/ETHPy150Open mmp2/megaman/megaman/geometry/geometry.py/Geometry.compute_laplacian_matrix