rp-tree: Random projection trees
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Random projection trees for approximate nearest neighbor search in high-dimensional vector spaces
To use the library, import Data.RPTree, which also contains all documentation.
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- rp-tree-0.7.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.2.0.0, 0.2.1.0, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.4, 0.5, 0.6, 0.7, 0.7.1 |
|---|---|
| Change log | Changelog.md |
| Dependencies | base (>=4.7 && <5), boxes, bytestring, conduit (>=1.3.1), containers (>=0.6), deepseq (>=1.4), heaps, mtl (>=2.2.2), rp-tree, serialise (>=0.2), splitmix, splitmix-distributions (>=0.9), text (>=1.2.3.1), transformers (>=0.5), vector (>=0.12), vector-algorithms (>=0.8) [details] |
| Tested with | ghc ==8.6.5, ghc ==8.10.4 |
| License | BSD-3-Clause |
| Copyright | (c) 2021 Marco Zocca, UnfoldML AB |
| Author | Marco Zocca |
| Maintainer | ocramz |
| Category | Data Mining, Data Structures, Machine Learning, Data |
| Home page | https://github.com/ocramz/rp-tree |
| Source repo | head: git clone https://github.com/ocramz/rp-tree |
| Uploaded | by ocramz at 2021-11-04T18:07:36Z |
| Distributions | LTSHaskell:0.7.1, NixOS:0.7.1, Stackage:0.7.1 |
| Executables | rp-tree |
| Downloads | 2594 total (32 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2021-11-04 [all 1 reports] |
Readme for rp-tree-0.7.1
[back to package description]rp-tree
Random projection trees for approximate nearest neighbor search in high-dimensional vector spaces.
