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Hello, I have some questions about Kemans and Random Pruning. Is there any corresponding paper for these two methods? I have read the paper about Kemas pruning. In this paper, the filter near the center point of the cluster is deleted, while your method is to retain the filter near the center point
For the random pruning code, there is no method to judge the importance of deleting the filter, so it is directly deleted. Is it unreasonable?
I hope you have time to help solve my doubts, I really appreciate it
The text was updated successfully, but these errors were encountered:
Hello, I have some questions about Kemans and Random Pruning. Is there any corresponding paper for these two methods? I have read the paper about Kemas pruning. In this paper, the filter near the center point of the cluster is deleted, while your method is to retain the filter near the center point
For the random pruning code, there is no method to judge the importance of deleting the filter, so it is directly deleted. Is it unreasonable?
I hope you have time to help solve my doubts, I really appreciate it
The text was updated successfully, but these errors were encountered: