def reconstruct_emds(edm, Om, all_points, method=None, **kwargs):
    """ Reconstruct point set using E(dge)-MDS.
    """
    from .point_set import dm_from_edm
    N = all_points.shape[0]
    d = all_points.shape[1]
    dm = dm_from_edm(edm)
    if method is None:
        from .mds import superMDS
        Xhat, __ = superMDS(all_points[0, :], N, d, Om=Om, dm=dm)
    else:
        C = kwargs.get('C', None)
        b = kwargs.get('b', None)
        if C is None or b is None:
            raise NameError(
                'Need constraints C and b for reconstruct_emds in iterative mode.')
        KE_noisy = np.multiply(np.outer(dm, dm), Om)
        if method == 'iterative':
            from .mds import iterativeEMDS
            Xhat, __ = iterativeEMDS(
                all_points[0, :], N, d, KE=KE_noisy, C=C, b=b)
        elif method == 'relaxed':
            from .mds import relaxedEMDS
            Xhat, __ = relaxedEMDS(
                all_points[0, :], N, d, KE=KE_noisy, C=C, b=b)
        else:
            raise NameError('Undefined method', method)
    Y, R, t, c = procrustes(all_points, Xhat, scale=False)
    return Y
Reconstruct point set using E(dge)-MDS.