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.
Version:
1.1.4.1
Depends:
R (≥ 4.0.0)
Published:
2024年09月22日
Author:
Alina Beygelzimer [aut] (cover tree library),
Sham Kakadet [aut] (cover tree library),
John Langford [aut] (cover tree library),
Sunil Arya [aut] (ANN library 1.1.2 for the kd-tree approach),
David Mount [aut] (ANN library 1.1.2 for the kd-tree approach),
Shengqiao Li [aut, cre]
Maintainer:
Shengqiao Li <lishengqiao at yahoo.com>
Copyright:
ANN Copyright (c) 1997-2010 University of Maryland and Sunil
Arya and David Mount. All Rights Reserved.
FNN copyright details
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
adamethods,
agghoo,
amt,
Anthropometry,
aRtsy,
atakrig,
autoFRK,
bapred,
BatchQC,
BayesNSGP,
bhetGP,
bigdatadist,
BoneDensityMapping,
Canek,
CAST,
cccd,
cicero,
clap,
cmsafops,
colors3d,
cooltools,
crmReg,
customizedTraining,
daltoolbox,
damAOI,
deepgp,
densityClust,
DepecheR,
DSWE,
ECoL,
evclass,
exdqlm,
ExNRuleEnsemble,
first,
gainML,
GloScope,
GpGp,
GPvecchia,
gstat,
GWmodel,
hextri,
Hmsc,
HVT,
ider,
imbalance,
immunaut,
intRinsic,
KCSKNNShiny,
KNNShiny,
ks,
LCCkNN,
less,
lgspline,
LilRhino,
LOMAR,
mateable,
MD2sample,
metamer,
miceRanger,
missRanger,
mlquantify,
MOEADr,
msImpute,
musclesyneRgies,
noisemodel,
OkNNE,
outForest,
PINSPlus,
pmlbr,
PointedSDMs,
polarisR,
pRoloc,
RaceID,
RaSEn,
rchemo,
rgnoisefilt,
sambia,
sansa,
scDiagnostics,
scgwr,
Sconify,
semidist,
shattering,
SimIndep,
SmartMeterAnalytics,
smotefamily,
SMOTEWB,
SpaCCI,
SpatialDDLS,
spmoran,
SRTsim,
stray,
supercompress,
TDA,
toweranNA,
trafo,
tspredit,
utsf,
uwot,
VoxR,
waywiser,
xkcdcolors,
YEAB
Reverse suggests:
amadeus,
cmsaf,
cmsafvis,
DataSimilarity,
destiny,
dobin,
FactorHet,
gcKrig,
gmGeostats,
knn.covertree,
mlr,
mlrCPO,
rainette,
sdcSpatial,
sits,
spARI,
stars,
superml,
Surrogate,
WASP
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FNN
to link to this page.