Machine Learning for Archaeological Applications in R
Heftet /
2025
/ Engelsk
Produktdetaljer
ISBN
9781009506649
Publisert
2025-01-16
Utgiver
Vendor
Cambridge University Press
Vekt
155 gr
Høyde
229 mm
Bredde
152 mm
Dybde
5 mm
Aldersnivå
G, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
96
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.
Les mer
1. Introduction; 2. Processing spectral data; 3. Processing compositional data; 4. Processing a combination of spectral and compositional data; 5. Final comments; Abbreviations; References.
This Element highlights the employment within archaeology of classification methods in chemometrics, AI, and Bayesian statistics.
Produktdetaljer
ISBN
9781009506649
Publisert
2025-01-16
Utgiver
Vendor
Cambridge University Press
Vekt
155 gr
Høyde
229 mm
Bredde
152 mm
Dybde
5 mm
Aldersnivå
G, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
96