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In API document , we can learn how to find approximate neighbours with Jaccard similarity more than threshold . On the other hand, how to find most unsimilar instance. Further, given a minHash LSH which initialized by thousands of plain text - set A, and given other thousands of plain text - set B, how to discover most unsimilar text of set B with set A , or how to discover text of set B which jaccard similarity less than threshold . Is there as possible as fast solution to deal with this problem ? Thanks !
The text was updated successfully, but these errors were encountered:
On Sun, Aug 7, 2022 at 11:56 PM lzlou ***@***.***> wrote:
In API document , we can learn how to find approximate neighbours with
Jaccard similarity more than threshold . On the other hand, how to find
most unsimilar instance. Further, given a minHash LSH which initialized by
thousands of plain text - set A, and given other thousands of plain text -
set B, how to discover most unsimilar text of set B with set A , or how to
discover text of set B which jaccard similarity less than threshold . Is
there as possible as fast solution to deal with this problem ? Thanks !
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In API document , we can learn how to find approximate neighbours with Jaccard similarity more than threshold . On the other hand, how to find most unsimilar instance. Further, given a minHash LSH which initialized by thousands of plain text - set A, and given other thousands of plain text - set B, how to discover most unsimilar text of set B with set A , or how to discover text of set B which jaccard similarity less than threshold . Is there as possible as fast solution to deal with this problem ? Thanks !
The text was updated successfully, but these errors were encountered: