I can't understand the final part of the ClusterGAN pipeline exactly. We train a GAN to be able to extract a representation for each image. After that, we can visualize images using these encodings via TSNE . However how can we seperate data into K groups? For instance, we can run K-means over these representations, right?
Hi, thank you for such a great work
I can't understand the final part of the ClusterGAN pipeline exactly. We train a GAN to be able to extract a representation for each image. After that, we can visualize images using these encodings via TSNE . However how can we seperate data into K groups? For instance, we can run K-means over these representations, right?