RANN: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric

Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.

Version: 2.5.1
Suggests: testthat
Published: 2017-05-21
Author: Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis
Maintainer: Gregory Jefferis <jefferis at gmail.com>
BugReports: https://github.com/jefferis/RANN/issues
License: GPL (≥ 3)
Copyright: ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHT for details.
URL: https://github.com/jefferis/RANN
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: RANN results


Reference manual: RANN.pdf
Package source: RANN_2.5.1.tar.gz
Windows binaries: r-devel: RANN_2.5.1.zip, r-release: RANN_2.5.1.zip, r-oldrel: RANN_2.5.1.zip
OS X El Capitan binaries: r-release: RANN_2.5.1.tgz
OS X Mavericks binaries: r-oldrel: RANN_2.5.1.tgz
Old sources: RANN archive

Reverse dependencies:

Reverse depends: celestial, McSpatial, RapidPolygonLookup, RWBP, saasCNV, StatMatch
Reverse imports: gjam, ldbod, lidR, ProbitSpatial, RsimMosaic, spatialEco, unbalanced
Reverse suggests: agricolae, caret, dimRed, flacco, fscaret, GeoXp, LICORS, nabor, spdep


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