Ｒによる考古学の応用のための機械学習 Machine Learning for Archaeological Applications in R

著者名：Argote, Denisse L./López-­García, Pedro A./Torres-­García, Manuel A./Thrun, Michael C.

Cambridge University Press（2025/01/16発売）

• 言語：ENG
• ISBN：9781009506595
• eISBN：9781009506601

Description

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 theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided in this Element.

Table of Contents

1. Introduction; 2. Processing spectral data; 3. Processing compositional data; 4. Processing a combination of spectral and compositional data; 5. Final comments; Abbreviations; References.