DiscontClust: open program for automatic grouping of discontinuity orientations data

This article describes the algorithm of the spectral method that was chosen to create an applied computational program, which performs an automatic clustering of oriented data of discontinuities-measurements in a rock mass. The clustering differentiation of discontinuity families normally is done by a heuristic selection of sets based on a density diagram of discontinuities. But, an automatic clustering based on a statistical algorithm may be faster and passive to be replicated. In addition, an automatic clustering that has been presented as an open program is useful for the implementation in other calculi in the process of data analysis of discontinuity orientations. The article explains in detail the algorithms and its implementation; it has validations and examples that guarantees that the program can be used.