similarity matrix has very large size, how process it without segmenting it?
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I have similarity matrix with size 17770*17770. When process it get out of memory
In fact, at first , I got this similarity matrix by segmenting the original matrix into 7 parts , each one with size 2500*17770, then collect these parts to get the final size. But, the next step , I can not process it partly because I want to make clustering for this similarity matrix. So, it is impossible processing it partly
Is there a way to process this similarity matrix.*
Thanks in advance