Clustering 512D features using pretrained model

[windspirit95]

Hi. I have seen that in your code the default value for feature dimension is 256, also in hfsoftmax pre-trained feature extraction model. So I am wondering if it is possible to use your pretrained model on my extracted features, which have the dimension is 512? Besides, is that right that to use GCN-D + GCN-S for clustering, I could test the cluster detection, then test cluster segmentation follow the instruction in https://github.com/yl-1993/learn-to-cluster/tree/master/dsgcn? Thank you for your concern!