Clustering algorithms and performance evaluation metrics for the Tell El-Yahudiya ceramic ware typology

Zenodo (CERN European Organization for Nuclear Research)

Abstract

Clustering methods based on a machine learning environment are applied to a pottery dataset with an already defined chrono-cultural typology, the Tell el-Yahudiya ware, aiming to evaluate to what extent the original typology can be replicated.

Authors 3

1. Guilherme D'Andrea Curra Aachen

   Leiden University

   Affiliation as printed

   Leiden University

2. Dennis Braekmans Aachen

   Leiden University

   Affiliation as printed

   Leiden University

3. Karsten Lambers

   University of Augsburg

   Affiliation as printed

   University of Augsburg