Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/4622#issuecomment-99541423
@dbtsai Thanks for comments and the question.
I have no very good answer to the question. We have used a threshold to
filter out the insignificant similarities of large scale data. As you said, it
is impossible to compute all the pairs. However, the data we process is very
high dimensional and very sparse, so the all-pair computation can be much
reduced by only considering the pairs having corresponding dimensions with
values more than zero (or a threshold defined).
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