Exploring Ancient Vessel Morphology using Model Based Clustering

Mark Kimpel Co-Author
Indiana University School of Medicine(retired)
 
Kim Shelton Co-Author
University of California Berkeley
 
Rasitha Jayesekere Co-Author
Butler University
 
Lynne Kvapil First Author
Butler University
 
Rasitha Jayesekere Presenting Author
Butler University
 
Wednesday, Aug 6: 9:00 AM - 9:05 AM
0925 
Contributed Speed 
Music City Center 
How often do statisticians get to work on ancient pottery data from a 14th century archeological site in Greece?
I had the opportunity to collaborate with a group of archeologists to mine data on ancient ceramic vessels, which were retrieved from a sealed well deposit found within the archeological site. A model-based cluster analysis method, Gaussian Mixture Models Clustering, was applied to vessel dimensions to identify clusters, and tested stability of clusters using a series of non-parametric testes. The clusters were used to verify the morphology of the ceramic vessels conforming to the standard archeological vessel shapes identified by archeologists. This presentation will discuss the statistical modeling and the results, in application to uncovering clusters in the ancient ceramic vessel data.

Keywords

Archeology

Gaussian Mixture Model

Model Based Clustering

Vessel Morphology 

Main Sponsor

Isolated Statisticians