R code script for: TAXONOMIC AND BIOGEOGRAPHIC IMPLICATIONS OF LATE MIOCENE SAMOTHERIUM (GIRAFFIDAE) FROM AS-SAHABI, LIBYA: MORPHOMETRIC AND MACHINE LEARNING APPROACHES

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This R code script is used in the study that trie to classify fossil giraffid into species using some linear measurements from astragali. Key steps include handling missing data via multiple imputation, training machine learning models , and evaluating performance. The pipeline predicts species and compare our results with fossil specimens from differnt African and Eurasian sites.

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Supplementary data and code for “Automated Multi-View Silhouette Generation and Morphometric Cluster

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A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae

This study explores the performance of modern, accurate machine learning algorithms on the classific

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Fig. 1 in A new late Miocene elasmotheriine rhinoceros from Morocco

Fig. 1. Elasmotheriine rhinoceros Eoazara xerrii gen. et sp. nov. from the upper Miocene of Skoura,