Comments (2)
It depends on how data is organized. If the data is stored column-wise, we use ZC; if row-wise, we use CZ. For python, the default matrix data format is row-wise, so we use CZ.
from deep-subspace-clustering-networks.
@panji1990 I do not know if I am right, for the summary architecture of the neural network, the input to the algorithm is a matrix in the form [feature, sample], and in the first layer the neuron nodes number is #sample, and then the second and later layer the neuron nodes number is ${some ratio} * #sample if ${some ratio} exist, the neuron nodes number in the last layer of the encoder goes back to #sample and then comes the self-expression layer, which also has #sample neurons. As a result, the parameters between the last encoder layer to the self-expression layer are #sample * #sample due to the fully connected way?
from deep-subspace-clustering-networks.
Related Issues (17)
- Need Help
- I can not reproduce your results on dataset ORL in your paper. Is the code the newest? HOT 1
- Replicability of your Research
- Applying Deep Subspace Clustering to High Dimensional Data HOT 1
- Not able to reproduce results, Stopping pre-training for ORL dataset? HOT 1
- Feature selection / extraction HOT 1
- How can I get the specific subspace? HOT 2
- some problem about experiment parameters setting HOT 1
- Could you release your pretrained models of coil20 HOT 1
- Parameters of comparative experiment "EDSC" HOT 1
- Can't find .ckpt file when call saver.restore HOT 1
- When does pre-training end? HOT 2
- diag(coeff) =0? HOT 1
- In this code,the diag(c) is not eaual to 0?
- How to fix the N problem? HOT 1
- image_size HOT 1
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from deep-subspace-clustering-networks.