Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1778#issuecomment-54222237
@rezazadeh I understand that it is easier to implement the algorithm on a
row-oriented format to compute similar columns. But it still sounds more
natural to me to compute similar rows on a row-oriented format. For example, we
have a billion small images and we want to pick out similar ones, without
computing 10^9 x 10^9 inner products. Does DIMSUM help?
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