Closed smallelephant9516 closed 3 years ago
Hi @smallelephant9516,
Thank for your interest and trying out the code.
You could "overcluster" your dataset and visualize the prototype of each cluster to get an idea what each cluster represents. I would also take a look at the nearest neighbors.
Have a look at eval.py
to visualize the prototypes. I believe this will be helpful.
Hi @smallelephant9516,
If you have any more issues, let us know. Closing this for now.
It looks like an amazing work. However, I feel like I need some help. I have an unlabeled dataset and I want to get a general understanding of my dataset by looking at the higher level of representation on each image in the embedding space. Where I could check the embedding of each image to visualize the cluster? Thanks for your help.