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Machine Learning for Archaeological Applications in R

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Machine Learning for Archaeological Applications in R

Machine Learning for Archaeological Applications in R

Denisse L. Argote, Instituto Nacional de Antropología e Historia
Pedro A. López-­García, Escuela Nacional de Antropología e Historia
Manuel A. Torres-­García, Instituto Nacional de Antropología e Historia
Michael C. Thrun, Philipps-Universität Marburg, Germany
No date available
Paperback
9781009506649
Paperback
    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.

    Product details

    No date available
    Hardback
    9781009506595
    96 pages
    229 × 152 × 6 mm
    0.281kg

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    Contents

    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.
      • Show more

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    Inline video.5
    Size: 309.13 MB
    Type: video/mp4
    EATT-Argote-Colour figures
    Size: 656.62 MB
    Type: application/pdf
    Supplementary materials
    Size: 2.17 MB
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    Inline video.1
    Size: 496.51 MB
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    Inline video.2
    Size: 293.01 MB
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    Inline video.3
    Size: 237.61 MB
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    Inline video.4
    Size: 177.22 MB
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    Additional Information
    About the authors
      Authors
    • Denisse L. Argote , Instituto Nacional de Antropología e Historia
    • Pedro A. López-­García , Escuela Nacional de Antropología e Historia
    • Manuel A. Torres-­García , Instituto Nacional de Antropología e Historia
    • Michael C. Thrun , Philipps-Universität Marburg, Germany

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