Does Bayes beat squinting? Estimating unobserved aspects of a spatial cluster process


A point process data set on epidermal nerve fiber bundles is used as the basis for a series of experiments in identifying clusters. In this data set we know which secondary points are connected to which primary points.We will pretend that we do not have this information,
and using Bayesian tools estimate the information from data. For comparison we also use k-means clustering. We do this both for known cluster centers, and when the
cluster centers must be estimated from data.