3 papers
math.AT2025
MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology
Juni Schindler, Mauricio Barahona
Datasets often possess an intrinsic multiscale structure with meaningful descriptions at different levels of coarseness. Such datasets are naturally described as multi-resolution c…
cs.CY2025
Situated Bayes -- Feminist and Pluriversal Perspectives on Bayesian Knowledge
Juni Schindler, Goda Klumbytė, Matthew Fuller
This is the introduction and lead article to the Situated Bayes special issue of Computational Culture. The article introduces Bayes' Theorem and aspects of its contemporary uses,…
math.AT2023
Analysing Multiscale Clusterings with Persistent Homology
Juni Schindler, Mauricio Barahona
In data clustering, it is often desirable to find not just a single partition into clusters but a sequence of partitions that describes the data at different scales (or levels of c…