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gmum.r (version 0.2.1)

GMUM Machine Learning Group Package

Description

Direct R interface to Support Vector Machine libraries ('LIBSVM' and 'SVMLight') and efficient C++ implementations of Growing Neural Gas and models developed by 'GMUM' group (Cross Entropy Clustering and 2eSVM).

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Version

Install

install.packages('gmum.r')

Monthly Downloads

10

Version

0.2.1

License

MIT + file LICENSE

Issues

28

Pull Requests

0

Stars

33

Forks

10

Maintainer

Stanislaw Jastrzebski

Last Published

October 4th, 2015

Functions in gmum.r (0.2.1)

plot.Rcpp_GNGServer

plot GNG object
Rcpp_CecModel-class

Class Rcpp_CecModel.
cec.mouse1.spherical.extra

cec.mouse1.spherical.extra
MultiClassSVM-class

Class MultiClassSVM
plot.Rcpp_SVMClient

Plot SVM object
Rcpp_CecConfiguration-class

Class Rcpp_CecConfiguration.
convertToIGraph

convertToIGraph
gngLoad

gngLoad
GNG

Constructor of GrowingNeuralGas object.
centers

centers
get.wine.dataset.X

get.wine.dataset.X
pause

pause
CEC

Cross-Entropy Clustering
cec.ellipsegauss

cec.ellipsegauss
caret.gmumSvmLinear

Caret model representation for SVM with linear kernel
errorStatistics

errorStatistics
Rcpp_SVMClient-class

Class Rcpp_SVMClient.
findClosests

findClosests
getDataset

getDataset
print.Rcpp_CecModel

print
insertExamples

insertExamples
print.Rcpp_SVMClient

Print SVM object
gng.preset.cube

gng.preset.cube
numberNodes

numberNodes
meanError

meanError
energy

energy
cec.mouse1.spherical

cec.mouse1.spherical
caret.gmumSvmPoly

Caret model representation for SVM with linear kernel
predictComponent

predictComponent
plot.Rcpp_CecModel

plot
node

node
cec.ellipsegauss.extra

cec.ellipsegauss.extra
run

run
gngSave

gngSave
summary.Rcpp_GNGServer

summary
gng.preset.plane

gng.preset.plane
Tset

Tset
clustering

clustering
calculateCentroids

calculateCentroids
OptimizedGNG

Constructor of Optimized GrowingNeuralGas object.
svm.breastcancer.dataset

svm.breastcancer.dataset
terminate

terminate
predict.gng

predict
svm.transduction

svm.transduction
caret.gmumSvmRadial

Caret model representation for SVM with radial kernel
gng.preset.sphere

gng.preset.sphere
isRunning

isRunning
gng.plot.layout.v2d

Use first two spatial coordinates as position in layout
runAll

runAll
SVM

Create SVM object
summary.Rcpp_CecModel

summary
svm.accuracy

Measure accuracy scoreof a prediction
predict.Rcpp_SVMClient

Predict using SVM object
get.wine.dataset.y

get.wine.dataset.y
logEnergy

logEnergy
predict

predict
summary.Rcpp_SVMClient

Summary of SVM object
print.Rcpp_GNGServer

print
logClusters

logClusters
covMatrix

covMatrix
Rcpp_GNGServer-class

Class Rcpp_GNGServer.
iterations

iterations
runOneIteration

runOneIteration