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I want to know that have you considered other cluster methods because KNN is unsuitable for some high-dimension and discrete data. I believe this framework has the potential to change the trend in the fields of constructive learning because it allows us to capture more subtle information. The key point is to find a suitable method for the cluster.
The text was updated successfully, but these errors were encountered:
Hi, thanks for your question. We use K-means because it is the most efficient clustering algorithm with a GPU implementation that allow us to run on ImageNet without significant computation cost.
I want to know that have you considered other cluster methods because KNN is unsuitable for some high-dimension and discrete data. I believe this framework has the potential to change the trend in the fields of constructive learning because it allows us to capture more subtle information. The key point is to find a suitable method for the cluster.
The text was updated successfully, but these errors were encountered: