The proposed low-rank regularized spectral smoothing enables a preliminary noise reduction of the input data, but such a smoothed data is not spanned by a rigorously small number of components. This is because, although we have introduced the low-rank assumption, the rank of the data matrix was convex relaxed as using the nuclear norm.