Github user Yunni commented on the issue:
https://github.com/apache/spark/pull/15800
> If a query point vector q hashes to some MinHash Vector [5.0, 22.0, 13.0]
the best candidates will be ones that hash to that same vector.
My second half is suggesting: If a query point vector q hashes to MinHash
Array `[[5.0, 10.0], [22.0, 7.0], [13.0, 25.0]]`, the buckets to search will be
ones that hash to any of the MinHash vectors like
- `[[5.0, 10.0], [39.0, 7.0], [18.0, 99.0]]`
- `[[100.0, 77.0], [22.0, 7.0], [13.0, 2.0]]`
- `[[78.0, 40.0], [96.0, 55.0], [13.0, 25.0]]`
- ......
To increase chance to find the exact k nearest neighbor.
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