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approximate_nearest_neighbours-lsh's Introduction

Approximate Nearest Neighbours LSH

University Assignment: Implement LSH algorithm for d-dimensional images in C++, using Lloyd's algorithm and Hypercube & L-Hashtables structures. L1 metric: Manhattan.

We can run it like this, from outside of the src/ folder make && ./lsh -d Datasets/dataset -q Datasets/queryset -k 4 -L 1 -o test.txt -N 2 -R 10000

Or like this to run the cube algorithm make && ./cube -d Datasets/dataset -q Datasets/queryset -k 14 -M 10 -probes 5 -o results2.txt -N 5 -R 10000

Cluster: make && ./cluster -i Datasets/dataset -c cluster.conf -o testOutputCluster.txt -complete -m Classic

File paths have to be without "" Provided that we have the dataset in the folder ./Datasets/dataset Provided that we have the dataset in the folder ./Datasets/queryset

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approximate_nearest_neighbours-lsh's Issues

Slow insert to hashtables

We experience slow insertion of values in the hashtables.
Possible ways to improve it:

  • Store pointers to all_images[image], instead of image
  • Use unordered_map
  • Use emplace instead of push_back

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