ussianKDE` instance as only
        parameter and return a scalar. If None (default), 'scott' is used.

    Attributes
    ----------
    dataset : ndarray
        The dataset passed to the constructor.
    dim : int
        Number of dimensions.
    num_dp : int
        Number of datapoints.
    factor : float
        The bandwidth factor, obtained from `kde.covariance_factor`, with which
        the covariance matrix is multiplied.
    covariance : ndarray
        The covariance matrix of *dataset*, scaled by the calculated bandwidth
        (`kde.factor`).
    inv_cov : ndarray
        The inverse of *covariance*.

    Methods
    -------
    kde.evaluate(points) : ndarray
        Evaluate the estimated pdf on a provided set of points.
    kde(points) : ndarray
        Same as kde.evaluate(points)
    Nc