Machine learning for archaeological applications in R /

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a t...

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Bibliographic Details

Main Author:	Argote, Denisse L. (Author)
Format:	Book
Language:	English
Published:	Cambridge ; New York : Cambridge University Press, 2024.
Series:	Cambridge elements. Elements in current archaeological tools and techniques.
Subjects:	Archaeology > Data processing. Archaeometry. Machine learning. R (Computer program language)