Prototype of HEngine concept described by Alex X. Liu, Ke Shen, Eric Torng in their paper "Large Scale Hamming Distance Query Processing" ICDE Conference, pages 553 - 564, 2011.
It is a solution of Hamming distance range query problem in a large scale set.
Is supposed to handle only 64 bit binary strings.
tests$ ./matches 7 data/db/table.txt data/query/face2.txt
Reading the dataset ........ done. 752420 db hashes and 343 query hashes.
Building with 7 hamming distance bound ....... done.
Building time: 13.772 seconds
Searching HEngine matches .......
found 100 total matches. Query time: 0.1 seconds
Searching linear matches .......
found 100 total matches. Linear query time: 7.104 seconds
As you can see it is much more faster than linear scanning.
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