Cluster analysis: A first step in quantitative techniques in Archaeology of Architecture

Abstract

The proposal made in this article is based on the conviction that there are certain methods of analysis in archaeology that could be significantly improved i f t hey incorporated quantitative t echniques; o ne o f those methods is undoubtedly that of the stratigraphic reading of elevations. In the course of this document, our background in this regard will be explained, by means of a brief summary. Although the starting point will be based on the initial more intuitive experiments, it will focus primarily on our latest mathematical-statistical trials. The text will identify how we are experimenting with methods of massive capture of geometric information, which through programming is later subjected to data mining, based on the use of multivariate analysis techniques with proprietary algorithms. Finally, we reflect on the future in which we envisage that the stratigraphic reading of elevations will reach a degree of automation very close to expert systems and artificial intelligence.