147 5. LATENT SPACE PROSPECTIVITY MAPPING 5.1. Extraction of Porphyry Signature To define a representative signature of porphyry systems, latent vectors corresponding to subcrops centered on known western deposits (n = 25) were extracted. A mean latent vector was then computed: z123 = 1H Cz) 4 )/1 where z)represents the latent vector of each deposit-related subcrop. This mean vector serves as a reference representation of the porphyry signature in latent space (See Figure 6). Figure 6 – Three-dimensional visualization of the latent space learned by the VAE-CNN model, showing the distribution of training data, latent representations of porphyry-related subcrops (reference latents), and their mean latent vector. 5.2. Similarity Estimation The similarity between the reference vector and all subcrops in the study area was quantified using the Euclidean distance: 4) =∥ z) −z123 ∥ where 4)represents the distance between each subcrop and the porphyry signature.
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