KODAMA: Knowledge Discovery by Accuracy Maximization
Version 1.4

An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data.

Browse man pages Browse package API and functions Browse package files

AuthorStefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, and David A. MacIntyre
Date of publication2017-01-17 00:15:21
MaintainerStefano Cacciatore <tkcaccia@gmail.com>
LicenseGPL (>= 2)
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("KODAMA")

Man pages

core_cpp: Maximization of Cross-Validateed Accuracy Methods
dinisurface: Ulisse Dini Data Set Generator
floyd: Find Shortest Paths Between All Nodes in a Graph
helicoid: Helicoid Data Set Generator
knn.double.cv: Cross-Validation with k-Nearest Neighbors algorithm.
knn.kodama: k-Nearest Neighbors Classifier.
KODAMA: Knowledge Discovery by Accuracy Maximization
k.test: K-Test of Statistical Association
loads: Variable Ranking
lymphoma: Lymphoma Gene Expression Dataset
mcplot: Evaluation of the Monte Carlo accuracy results
MetRef: Nuclear Magnetic Resonance Spectra of Urine Samples
normalization: Normalization methods
pls.double.cv: Cross-Validation with PLS-DA.
pls.kodama: Partial Least Squares regression.
scaling: Scaling methods
spirals: Spirals Data Set Generator
swissroll: Swiss Roll Data Set Generator
transformy: Conversion Classification Vector to Matrix
USA: State of the Union Data Set

Functions

KNNCV Source code
KODAMA Man page Source code
MetRef Man page
PLSDACV Source code
USA Man page
another Source code
core_cpp Man page Source code
corecpp Source code
dinisurface Man page Source code
double_knn_cv Source code
double_pls_cv Source code
floyd Man page Source code
helicoid Man page Source code
k.test Man page Source code
knn.double.cv Man page Source code
knn.kodama Man page Source code
loads Man page Source code
lymphoma Man page
mcplot Man page Source code
normalization Man page Source code
optim_knn_C_cv Source code
optim_knn_r_cv Source code
optim_pls_cv Source code
pls.double.cv Man page Source code
pls.kodama Man page Source code
samm Source code
samm_cpp Source code
scaling Man page Source code
spirals Man page Source code
swissroll Man page Source code
transformy Man page Source code
unic Source code

Files

inst
inst/doc
inst/doc/KODAMA.R
inst/doc/KODAMA.Rmd
inst/doc/KODAMA.pdf
src
src/kd_util.cpp
src/bd_fix_rad_search.cpp
src/Makevars
src/kd_split.cpp
src/prova.cpp
src/kd_util.h
src/kd_pr_search.cpp
src/pr_queue_k.h
src/NN.h
src/cmeans.c
src/svm.h
src/ANN
src/ANN/ANNperf.h
src/ANN/ANN.h
src/ANN/ANNx.h
src/bd_tree.cpp
src/bd_tree.h
src/cshell.c
src/ANN.cpp
src/kd_pr_search.h
src/pr_queue.h
src/floyd.c
src/kd_split.h
src/kd_tree.h
src/bd_search.cpp
src/bd_pr_search.cpp
src/Rsvm.c
src/svm.cpp
src/kd_fix_rad_search.cpp
src/kd_dump.cpp
src/Makevars.win
src/RcppExports.cpp
src/brute.cpp
src/kd_fix_rad_search.h
src/kd_search.cpp
src/kd_tree.cpp
src/kd_search.h
NAMESPACE
data
data/USA.RData
data/lymphoma.RData
data/MetRef.RData
data/datalist
R
R/preprocessing.R
R/RcppExports.R
R/KOD.R
R/datasets.R
vignettes
vignettes/dinisurface.pdf
vignettes/helicoid.pdf
vignettes/kk2.pdf
vignettes/pca.pdf
vignettes/iris_knn_5.pdf
vignettes/KODAMA.Rmd
vignettes/kk3.pdf
vignettes/mcplot.pdf
vignettes/swissroll.pdf
vignettes/iris.pdf
vignettes/kk5.pdf
vignettes/kk1.pdf
vignettes/kk4.pdf
vignettes/spirals.pdf
MD5
build
build/vignette.rds
DESCRIPTION
man
man/k.test.Rd
man/lymphoma.Rd
man/scaling.Rd
man/loads.Rd
man/spirals.Rd
man/helicoid.Rd
man/USA.Rd
man/mcplot.Rd
man/floyd.Rd
man/KODAMA.Rd
man/pls.kodama.Rd
man/MetRef.Rd
man/core_cpp.Rd
man/dinisurface.Rd
man/transformy.Rd
man/knn.kodama.Rd
man/normalization.Rd
man/swissroll.Rd
man/pls.double.cv.Rd
man/knn.double.cv.Rd
KODAMA documentation built on May 19, 2017, 5:28 p.m.