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Hi, thank you for pointing this problem out. In some special cases, the predicted cluster number (k) is lower than the defined k. If you really need the best map, could you try to adjust (such as increase) the defined K to produce more clusters?
Hello, thank you very much for your work!
When I called the "best_map (L1, L2)" method in utils.py, I found that the clustering label size was larger than the groundtruth label, resulting in
statement cannot be executed properly.
The error message is as follows
Can you tell me where the problem is? Thank you
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