I use a convolutional neural network based feature extraction and encoded results. This shows 5,623 photos cluster the similar artists based on 25,088 dimensions. 
The mouse in this link  shows two artists, Banksy and Blek le Rat – who has similar styles.
Here is the code  for the encoding process (again all by Dhruv from @Cometml )
I can share the dataset of images for anyone who is interested. There are 15 artists and ~5300 photos. Shoot me a message on Twitter .
The encoded features (using VGG16) are in a hdf5 file that I can also share for anyone interested.
The clustering is done using the Annoy (Approximate Nearest Neighbors OY)  from @SpotifyEng – I tried to use FAISS , but struggled with the instructions. Apparently its significantly faster, but the documentation wasn’t great.
The visual gifs are generated using Tensorflow.js in the Embeddings Projector – a very cool project that runs off a basic HTML file in your local machine. More info here: