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.
ISBN: | 9781009506649 |
Publication date: | 30th September 2024 |
Author: | Denisse L Argote, Pedro A López García, Manuel A Torres García, Michael C Thrun |
Publisher: | Cambridge University Press |
Format: | Paperback |
Pagination: | 75 pages |
Series: | Elements in Current Archaeological Tools and Techniques |
Genres: |
Landscape archaeology Bayesian inference Pattern recognition |