Codebase list r-cran-fnn / f2fb32a
New upstream version 1.1.3.1 Andreas Tille 1 year, 11 months ago
15 changed file(s) with 30 addition(s) and 30 deletion(s). Raw diff Collapse all Expand all
00 Package: FNN
1 Version: 1.1.3
1 Version: 1.1.3.1
22 Date: 2019-02-15
33 Title: Fast Nearest Neighbor Search Algorithms and Applications
44 Author: Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library),
1212 including KNN classification, regression and information measures are implemented.
1313 License: GPL (>= 2)
1414 NeedsCompilation: yes
15 Packaged: 2019-02-15 20:07:07 UTC; Lion
15 Packaged: 2022-05-23 08:06:10 UTC; hornik
1616 Repository: CRAN
17 Date/Publication: 2019-02-15 23:20:03 UTC
17 Date/Publication: 2022-05-23 08:27:42 UTC
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00 7f47607d00e2da41588cd1016882dec6 *ChangeLog
1 bb33a32124aacd94f2635cce7059fdfe *DESCRIPTION
1 b21df4e854bd1b9fbeb407a28923ef9c *DESCRIPTION
22 923e534f1429905eb649400d64d0b9af *NAMESPACE
33 e146a45987484153651a8f5228340049 *R/KNN.R
44 39146368c8ece8867ff89368fcef6bb7 *R/KNN.information.measures.R
55 fcc4169d79bf6333263164a1e9e569f1 *R/KNNCR.R
66 0490c237b8f178545367ffbcb87e82a4 *R/OWNN.R
77 28048af675ad1c475b5329d58d45ca7c *inst/COPYRIGHTS
8 7fb5ee8def3bc6cce05b4a2afc799f35 *man/KL.dist.Rd
9 557d4706233f371406f248e3fed8fd73 *man/KL.divergence.Rd
10 a0b13628114796afe5e44385a8963ed9 *man/crossentropy.Rd
11 4fdd289347d2560ceaa556b1bf02e993 *man/entropy.Rd
12 fec02ce29329494c4b55a89e414f4a43 *man/get.knn.Rd
13 7acbef35542be00feb532179780fb822 *man/knn.Rd
14 71a3b06d7eed2fe768d8f770dc1f2935 *man/knn.cv.Rd
15 8e5140a82ede9d9f645d84d5c8df6919 *man/knn.dist.Rd
16 f048063f888c38560619f71dd5e17155 *man/knn.index.Rd
17 13e5c8029ab1899e531ae16ac0d2f8f6 *man/knn.reg.Rd
18 60c42c42dd623cf9449c8500b94e2431 *man/mutual_information.Rd
19 02fbc997ef606b2e99e07a72ab70c979 *man/ownn.rd
20 b2f473e3e493bdbf8c4b8082c9c0de5a *man/print.knnRegCV.Rd
8 4fe52314de67c43e8fa4b99489a53177 *man/KL.dist.Rd
9 47521994a976f76448d948b46d89faf8 *man/KL.divergence.Rd
10 a7b477e1a5550ec2629e48932470dd0e *man/crossentropy.Rd
11 ad79df1bb93687d7d1bd58a5f46c3f42 *man/entropy.Rd
12 2849dfa7b6a62c1f1037452f26784b97 *man/get.knn.Rd
13 18e67010eff044257675df0f385a284e *man/knn.Rd
14 4f696a9a5ae84fe538025023d4563deb *man/knn.cv.Rd
15 27b94681a6fc93833dcb25e9ac2ae4cf *man/knn.dist.Rd
16 3987b1a15da8f20c6006f83c2301cfc4 *man/knn.index.Rd
17 11af2234e6652613ad9f045a142ad548 *man/knn.reg.Rd
18 102130ce8592d18cccc82a1ee823f7c4 *man/mutual_information.Rd
19 3fee7681894330f08a228021c8939e9d *man/ownn.rd
20 78091a509e2b0d1e57894f7d393ce2e8 *man/print.knnRegCV.Rd
2121 af0cdd879859743d72ac208ddfd5822d *src/ANN.cpp
2222 2bb6f65e94fac36a50436d9acfd57af8 *src/KNN_ANN.cpp
2323 a15e118292014e1592b283427c173a48 *src/KNN_correlation_distance.cpp
3131 \code{\link{KL.divergence}}.
3232
3333 }
34 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
34 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
3535
3636 \references{
3737 S. Boltz, E. Debreuve and M. Barlaud (2007).
3232 \seealso{
3333 \code{\link{KL.dist}}
3434 }
35 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
35 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
3636
3737 \references{
3838 S. Boltz, E. Debreuve and M. Barlaud (2007).
2323 \eqn{H(p;q) = E_p[-\log q(x)]}{H(p;q) = E_p[-\log q(x)]}.
2424 }
2525
26 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
26 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
2727
2828 \references{
2929 S. Boltz, E. Debreuve and M. Barlaud (2007).
1515 a vector of length \code{k} for entropy estimates using \code{1:k} nearest neighbors, respectively.
1616 }
1717
18 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
18 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
1919
2020 \references{
2121
3939
4040 }
4141
42 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
42 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
4343
4444 \references{
4545 Bentley J.L. (1975), \dQuote{Multidimensional binary search trees used for associative
2626 \value{
2727 factor of classifications of test set. \code{doubt} will be returned as \code{NA}.
2828 }
29 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
29 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
3030 \references{
3131 B.D. Ripley (1996). \emph{Pattern Recognition and Neural Networks.} Cambridge.
3232
2929 factor of classifications of training set. \code{doubt} will be returned as \code{NA}.
3030 distances and indice of k nearest neighbors are also returned as attributes.
3131 }
32 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
32 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
3333
3434 \references{
3535 Ripley, B. D. (1996)
2424 return the Euclidiean distances of k nearest neighbors.
2525 }
2626
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
2828
2929 \references{
3030 Bentley J.L. (1975), \dQuote{Multidimensional binary search trees used for associative
2424 return the indice of k nearest neighbors.
2525 }
2626
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
2828
2929 \references{
3030 Bentley J.L. (1975), \dQuote{Multidimensional binary search trees used for associative
4545 \note{
4646 The code for \dQuote{VR} nearest neighbor searching is taken from \code{class} source
4747 }
48 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
48 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
4949
5050 \examples{
5151 if(require(chemometrics)){
2424 }
2525
2626
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
27 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
2828
2929 \references{
3030
2323 \value{
2424 a list includes k, predictions by ordinary knn, optimal weighted knn and bagged knn, and accuracies if class labels of test data set are given.
2525 }
26 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
26 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
2727 \references{
2828 Richard J. Samworth (2012),
2929 \dQuote{Optimal Weighted Nearest Neighbor Classifiers,} \emph{Annals of Statistics}, \bold{40:5}, 2733-2763.
1515 \item{\dots}{Additonal \code{print} arguments.}
1616 }
1717
18 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com.}}
18 \author{Shengqiao Li. To report any bugs or suggestions please email: \email{lishengqiao@yahoo.com}}
1919
2020 \keyword{print}
2121