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Haven't went through the code, but K-means itself is an inherently random algorithm and the outcome depends on the initialization. However, I think for an easily clustering dataset, the difference in the outcomes should be minimal.
Hi,
I tried to cluster the same data with Kmeans_pytorch, but got different clustering results. What is the cause of this?
Looking forward to your reply.
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