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RclusTool
View on CRAN: Click
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Download and install RclusTool package within the R console
Install from CRAN:
install.packages("RclusTool")
Install from Github:
library("remotes")
install_github("cran/RclusTool")
Install by package version:
library("remotes")
install_version("RclusTool", "0.91.6")
Attach the package and use:
library("RclusTool")
Maintained by
Pierre-Alexandre Hebert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-12
Latest Update: 2022-08-29
Description:
Graphical toolbox for clustering and classification of data frames. It proposes a graphical interface to process clustering and classification methods on features data-frames, and to view initial data as well as resulted cluster or classes. According to the level of available labels, different approaches are proposed: unsupervised clustering, semi-supervised clustering and supervised classification. To assess the processed clusters or classes, the toolbox can import and show some supplementary data formats: either profile/time series, or images. These added information can help the expert to label clusters (clustering), or to constrain data frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.
How to cite:
Pierre-Alexandre Hebert (2019). RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames. R package version 0.91.6, https://cran.r-project.org/web/packages/RclusTool
Previous versions and publish date:
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Other R packages that RclusTool depends,
imports, suggests or enhances
Functions, R codes and Examples using
the RclusTool R package
Some associated functions: ElbowFinder . ElbowPlot . FindNumberK . KmeansAutoElbow . KmeansQuick . KwaySSSC . MainWindow . RclusToolGUI . abdPlot . abdPlotTabs . abdPlotTabsGUI . addClustering . addIds2Sampling . addOperation . analyzePlot . applyPreprocessing . bipartitionShi . buildBatchTab . buildClusteringSample . buildConstraintsMatrix . buildImportTab . buildNameOperation . buildPreprocessTab . buildSemisupTab . buildUnsupTab . buildsupTab . clusterDensity . clusterSummary . computeCKmeans . computeCSC . computeEM . computeGap . computeGap2 . computeGaussianSimilarity . computeGaussianSimilarityZP . computeItemsSample . computeItemsSampleGUI . computeKmeans . computePcaNbDims . computePcaSample . computeSampling . computeSemiSupervised . computeSpectralEmbeddingSample . computeSupervised . computeUnSupervised . convNamesPairsToIndexPairs . convNamesToIndex . cor.mtest . countItems . countItemsSampleGUI . createResFolder . critMNCut . detailOperation . dot-logoFrame . dropTrainSetVars . extractFeaturesFromSummary . extractProtos . featSpaceNameConvert . formatLabelSample . formatParameterList . guessFileEncoding . imgClassif . importLabelSample . importSample . initBatchTab . initImportTab . initParameters . initPreprocessTab . initSemisupTab . initSupTab . initUnsupTab . itemsModel . listDerivableFeatureSpaces . loadPreprocessFile . loadPreviousRes . loadSample . loadSummary . makeFeatureSpaceOperations . makeTitle . matchNames . measureConstraintsOk . measureMNCut . messageConsole . nameClusters . plotDensity2D . plotProfile . plotProfileExtract . plotSampleFeatures . previewCSVfile . purgeSample . readTrainSet . removeZeros . saveCalcul . saveClustering . saveCounts . saveLogFile . saveManualProtos . savePreprocess . saveSummary . search.neighbour . sigClassif . sortCharAsNum . sortLabel . spectralClustering . spectralClusteringNg . spectralEmbeddingNg . tk2add.notetab . tk2delete.notetab . tk2draw.notetab . tk2notetab.RclusTool . tkEmptyLine . tkrplot.RclusTool . tkrreplot.RclusTool . toStringDataFrame . updateClustersNames . visualizeSampleClustering .
Some associated R codes: KmeansAutoElbow.R . RclusTool.R . batchTab.R . codeSSSC.R . codeSpectral.R . importTab.R . parameters.R . preprocessTab.R . sampleBuilding.R . sampleClustering.R . sampleCompute.R . sampleView.R . semisupTab.R . semisupervised.R . supTab.R . supervised.R . unsupTab.R . unsupervised.R . Full RclusTool package functions and examples
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