Central axes and peripheral points in high dimensional directional datasets

We introduce a new notion of central axis for a finite set (Formula presented.) of vectors in (Formula presented.). In tandem, we discuss different ways of measuring the dispersion of the data points (Formula presented.)'s around the central axis. Finally, we explain how to detect numerically the most peripheral points of the given dataset.