I’m currently working on an authorship verification project using the R package Stylo. The issue I’m having is that my corpus contains 700+ fragments and as such the visualisations outputted from the Stylo package are unreadable.
I have tried using the different visualisation ‘flavours’ in Stylo to minimise the information represented on the graphs but the output is still too crowded to be interpretable. I am currently able to run the Stylo experiments in both R and Python (using rpy2). I have also tried using a couple of different tools in Python to plot the outputs but I haven’t been able to find anything that works well for this volume of data so far.
What are your recommendations for packages or tools to visualise, cluster or otherwise interpret the pairwise distance matrix outputted from my experiments in a clear way, using either R or Python?