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The authors propose a method for automated processing of seismic data obtained in high-stress rock masses structured as hierarchy of blocks with a view to detecting seismically active zones and seismic event clusters within a mine field. The processing algorithm is developed based on the statistical theory of classification and cluster analysis. Suitable for zoning of seismic data, FOREL family algorithms include algorithms based on the idea of incorporating objects in the zones of their highest concentration into...