musyoku/adversarial-autoencoder

Hi, question about unsupervised clustering

543877815 opened this issue · 0 comments

image
The paper mentioned that "The first image in each row shows the cluster heads, which are digits generated by fixing the style variable to zero and setting the label variable to one of the 16 one-hot vectors. The rest of the images in each row are random test image that have been categorized into the corresponding category based on q(y|x)"
I am so confused that are the rest of the images from the reconstruction images or from the validation dataset that just clustered into corresponding categories???