Comments (8)
Hi, @zuoeye , did you specify the number of clusters at the beginning?
from jule.torch.
How to specify the numer of clusters at the beginning???
Thank you!
from jule.torch.
please see line 163 in train.lua
from jule.torch.
target_nclusters_table[i] = #(label_gt_table_table[i]) ?
Is this function‘s goal to get the clusters number of clustering?? This is not to specify the numer of
clusters at the beginning.
Thank you
from jule.torch.
Does I specify the number of target clusters ? For example,should I specify four target clusters at the begining if I want to get four categories?
Thank you!
from jule.torch.
yes, you should. change #(label_gt_table_table[i]) to 4 in your case. Also take care of label_gt_tensor_table and label_gt_table_table at line 161 and 162, respectively.
from jule.torch.
Is the cvt2TabelLabels() function’s goal to get the numer of target clusters ?Why do we specify the
numer of target clusters if the function's goal is to get the numer of target clusters? I still don't
understand how to specify the number of target clusters? Could you help me with a detailed
description of how to modify the code to specify the number of target clusters?
Thank you!
from jule.torch.
I just made "target_nclusters_table[i]=4" of line 163. My results were very bad after I run this code in my data. I have changed the 'K_s' from 10 to 100, 'K_c' from 2 to 10 with 1, 'eta' from 0.1 to 0.9, and 'learningRate'. But the results were still bad. Do you know how to improve my results?
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Related Issues (20)
- How to get the clustered data after training? HOT 3
- It is difficult to train in Large dataset. HOT 3
- How to use cpu to run the torch code. HOT 3
- class torch.LongTensor cannot be indexed, cvt2TabelLabels error HOT 3
- Can I run this code If my data have no label? HOT 6
- There is a problem when run my data HOT 7
- There is a probelm when I run my data HOT 1
- "bad argument #2 to '?'" error on CIFAR dataset HOT 4
- implementation of run_step_fast
- How to extract feature ? HOT 1
- How to build dataset HOT 5
- Affinity for clusters
- best solution for CPU-only (knn) HOT 1
- Using labels in organize_samples
- doubt regarding the final loss HOT 2
- dataset
- install lua-knn failed!
- deep_recon function not found
- Test Datasets HOT 4
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