1. A method of determining implicit hidden features of phenomena representable by a point distribution in a space, the method comprising: defining a set of first parameters describing effects of a phenomenon such as an event or a process, the first parameters being measurable and characteristic of the event or process; defining a n-dimensional space wherein the first parameters are represented by entity points; determining, as a function of measured values of the first parameters, additional geometrical points in the n-dimensional space, the additional geometrical points being expected to provide additional characteristic parameters which describe the phenomenon or additional locations at which the phenomenon will produce its effects; adding the additional characteristic parameters or additional geometrical points, in a recurrent sequence, to the first parameters or entity points so to have at each iterative step a shorter minimum spanning tree (MST) than at a previous step; and displaying on a display device the n-dimensional space, wherein the additional characteristic parameters or additional geometrical points are shown together with the first parameters represented as the entity points.