/nearest-neighbor-search

Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

Primary LanguageC++MIT LicenseMIT

License: MIT

Nearest Neighbor Search



You can first build data vectors using the item class and then you can run a k-NN or radius local search using the model class.

Available Methods

  • Locality-sensitive hashing (LSH)
  • Hypercube search
  • Exhuastive search

Metrics: Euclidean and Cosine

Installation

Clone this repository to your local machine:

https://github.com/PetropoulakisPanagiotis/nearest-neighbor-search.git

Wiki

Author

Petropoulakis Panagiotis petropoulakispanagiotis@gmail.com