rp-tree: Random projection trees

[ bsd3, data, data-mining, data-structures, library, machine-learning, program ] [ Propose Tags ]

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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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]
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 1669 total (60 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2021-11-04 [all 1 reports]

Readme for rp-tree-0.7.1

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rp-tree

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Random projection trees for approximate nearest neighbor search in high-dimensional vector spaces.

rp-tree