Package: dann 1.3.0

dann: Discriminant Adaptive Nearest Neighbor Classification

Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. The neighborhood is elongated along class boundaries and shrunk in the orthogonal direction. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.

Authors:Greg McMahan [aut, cre]

dann_1.3.0.tar.gz
dann_1.3.0.zip(r-4.7-x86_64)dann_1.3.0.zip(r-4.7-arm64)dann_1.3.0.zip(r-4.6-x86_64)dann_1.3.0.zip(r-4.6-arm64)dann_1.3.0.zip(r-4.5-x86_64)
dann_1.3.0.tgz(r-4.6-x86_64)dann_1.3.0.tgz(r-4.6-arm64)dann_1.3.0.tgz(r-4.5-x86_64)dann_1.3.0.tgz(r-4.5-arm64)
dann_1.3.0.tar.gz(r-4.7-arm64)dann_1.3.0.tar.gz(r-4.7-x86_64)dann_1.3.0.tar.gz(r-4.6-arm64)dann_1.3.0.tar.gz(r-4.6-x86_64)
dann_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dann/json (API)

# Install 'dann' in R:

install.packages('dann', repos = c('https://gmcmacran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gmcmacran/dann/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

4.16 score 1 packages 32 scripts 508 downloads 6 exports 42 dependencies

Last updated from:5fc587148c. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	148
linux-devel-x86_64	OK	171
source / vignettes	OK	241
linux-release-arm64	OK	142
linux-release-x86_64	OK	173
macos-release-arm64	OK	159
macos-release-x86_64	OK	261
macos-oldrel-arm64	OK	118
macos-oldrel-x86_64	OK	175
windows-devel-arm64	OK	336
windows-devel-x86_64	OK	161
windows-release-arm64	OK	360
windows-release-x86_64	OK	125
windows-oldrel-x86_64	OK	134
wasm-release	OK	136

Exports:dann dann_get_threads dann_has_openmp dann_set_threads graph_eigenvalues sub_dann

Dependencies:class cli cluster cpp11 DEoptimR diptest farver flexmix fpc ggplot2 glue gtable hardhat isoband kernlab labeling lattice lifecycle magrittr MASS mclust modeltools nnet pillar pkgconfig prabclus R6 RColorBrewer Rcpp RcppArmadillo rlang robustbase S7 scales sparsevctrs stringi stringr tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Discriminant Adaptive Nearest Neighbor Classification	dann
Control the number of threads dann uses	dann_get_threads dann_has_openmp dann_set_threads
Discriminant Adaptive Nearest Neighbor Classification	dann.data.frame
Discriminant Adaptive Nearest Neighbor Classification	dann.default
Discriminant Adaptive Nearest Neighbor Classification	dann.formula
Discriminant Adaptive Nearest Neighbor Classification	dann.matrix
Discriminant Adaptive Nearest Neighbor Classification	dann.recipe
A helper for choosing sub_dann's numDim	graph_eigenvalues
A helper for choosing sub_dann's numDim	graph_eigenvalues.data.frame
A helper for choosing sub_dann's numDim	graph_eigenvalues.default
A helper for choosing sub_dann's numDim	graph_eigenvalues.formula
A helper for choosing sub_dann's numDim	graph_eigenvalues.matrix
A helper for choosing sub_dann's numDim	graph_eigenvalues.recipe
Discriminant Adaptive Nearest Neighbor Classification	predict.dann
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	predict.sub_dann
Print dann model	print.dann
Print sub_dann model	print.sub_dann
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann.data.frame
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann.default
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann.formula
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann.matrix
Discriminant Adaptive Nearest Neighbor With Subspace Reduction	sub_dann.recipe