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- SERIATION IS THE ORDERING OF OBJECTS ACCORDING TO THEIR AGE. A LIMITATION TO THIS METHOD...
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Conceived and designed the experiments: Data are available along with an implementation of the algorithm described in the GitHub repository at: Frequency seriation played a key role in the formation of archaeology as a discipline due to its ability to generate chronologies.
Interest in its utility for exploring issues of contemporary interest beyond chronology, however, has been limited. This limitation is partly due to a lack of quantitative algorithms that can be used to build deterministic seriation solutions. When the number of assemblages becomes greater than just a handful, the resources required for evaluation of possible permutations easily outstrips available computing capacity.
On the other hand, probabilistic approaches to creating seriations offer a computationally manageable alternative but rely upon a compressed description of the data to order assemblages.
This compression removes the ability to use all of the features of our data to fit to the seriation model, obscuring violations of the model, and thus lessens our ability to understand the degree to which the resulting order is chronological, spatial, or a mixture. Recently, frequency seriation has been reconceived as a general method for studying the structure of cultural transmission through time and across space.
The use of an evolution-based framework renews the potential for seriation but also calls for a computationally feasible algorithm that is capable of producing solutions under varying configurations, without manual trial and error fitting. Here, we introduce the Iterative Deterministic Seriation Solution IDSS for constructing frequency seriations, an algorithm that dramatically constrains the search for potential valid orders of assemblages.