Figure 41 - Geological profile of the Toromocho mining deposit. (Ramos, Recines, Alcala, & Muñasqui, 2023) MATERIALS AND METHODS 3.1. Dataset Description 3.1.1. Description of Variables Considered in the ODJIT System The variables considered within the ODJIT system for cluster construction correspond to lithological and alteration classifications that describe the geological composition of the material delivered to the processing plant. These variables reflect the dominant alteration assemblages and host rock types associated with the Toromocho deposit. The following categories were included in the clustering framework: Lithological and Alteration Variables: ● INTR|USIVO A: Characterized by potassic alteration, predominantly represented by biotite and/or potassium feldspar assemblages. ● INTRUSIVO B: Associated with propylitic, phyllic, and argillic alteration, including chloritic alteration, sericite, clay minerals, and zones of silicification. ● SKARN SERPENTINE–MAGNETITE: Comprising serpentinite–magnetite skarn and magnetite-rich skarn assemblages. ● SKARN ACTINOLITE: Represented by tremolite–actinolite skarn with associated chlorite alteration. ● HORNFELS: Including green hornfels (diopside hornfels), biotite hornfels, sandstones, calcareous sediments (marble), and shales. Geochemical Variables: Fe, MgO: Major element grades representative of mineral type and alteration intensity, providing chemical indicators of ore composition and metallurgical behavior. Ore Competence Parameters: BI, MIC, HARD, DWI, BOND: Parameters describing ore resistance to fragmentation, including hardness, toughness, and abrasiveness indices. These variables directly
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