FNN: Fast Nearest Neighbor Search Algorithms and Applications

Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.

Depends: R (≥ 3.0.0)
Suggests: chemometrics, mvtnorm
Published: 2018-08-10
Author: Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library), Sunil Arya and David Mount (ANN library 1.1.2 for the kd-tree approach), Shengqiao Li
Maintainer: ORPHANED
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: ANN Copyright (c) 1997-2010 University of Maryland and Sunil Arya and David Mount. All Rights Reserved.
FNN copyright details
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: FNN results


Reference manual: FNN.pdf
Package source: FNN_1.1.2.1.tar.gz
Windows binaries: r-devel: FNN_1.1.2.1.zip, r-release: FNN_1.1.2.1.zip, r-oldrel: FNN_1.1.2.1.zip
OS X binaries: r-release: FNN_1.1.2.1.tgz, r-oldrel: FNN_1.1.2.1.tgz
Old sources: FNN archive

Reverse dependencies:

Reverse depends: freqparcoord, HDoutliers, IndepTest, probout, regtools
Reverse imports: adamethods, amt, Anthropometry, autoFRK, bapred, bigdatadist, cccd, customizedTraining, densityClust, evclass, evclust, GpGp, gstat, hextri, HighDimOut, hybridEnsemble, ider, imbalance, ks, LICORS, mateable, missRanger, MOEADr, sambia, sensors4plumes, TDA, trafo, unbalanced, varrank, xkcdcolors
Reverse suggests: CBDA, gcKrig, marinespeed, mlr, SACOBRA, smotefamily, stranger


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