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SSLR
View on CRAN: Click
here
Download and install SSLR package within the R console
Install from CRAN:
install.packages("SSLR")
Install from Github:
library("remotes")
install_github("cran/SSLR")
Install by package version:
library("remotes")
install_version("SSLR", "0.9.3.3")
Attach the package and use:
library("SSLR")
Maintained by
Francisco Jesús Palomares Alabarce
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SSLR . https://dicits.ugr.es/software/SSLR/ . SSLR results . SSLR.pdf . SSLR_0.9.3.3.tar.gz . SSLR_0.9.3.3.zip . SSLR_0.9.3.3.zip . SSLR_0.9.3.3.zip . SSLR_0.9.3.3.tgz . SSLR_0.9.3.3.tgz . SSLR_0.9.3.3.tgz . SSLR_0.9.3.3.tgz . SSLR archive . https://CRAN.R-project.org/package=SSLR .
First Published: 2020-03-20
Latest Update: 2021-07-22
Description:
Providing a collection of techniques for semi-supervised classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled data are used to train a classifier. The package includes a collection of semi-supervised learning techniques: self-training, co-training, democratic, decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface that is easy to use.
How to cite:
Francisco Jesús Palomares Alabarce (2020). SSLR: Semi-Supervised Classification, Regression and Clustering Methods. R package version 0.9.3.3, https://cran.r-project.org/web/packages/SSLR. Accessed 19 Apr. 2025.
Previous versions and publish date:
Other packages that cited SSLR R package
View SSLR citation profile
Other R packages that SSLR depends,
imports, suggests or enhances
Complete documentation for SSLR
Functions, R codes and Examples using
the SSLR R package
Some associated functions: COREG . DecisionTreeClassifier-class . EMLeastSquaresClassifierSSLR . EMNearestMeanClassifierSSLR . EntropyRegularizedLogisticRegressionSSLR . GRFClassifierSSLR . LaplacianSVMSSLR . LinearTSVMSSLR . MCNearestMeanClassifierSSLR . Node-class . RandomForestSemisupervised-class . SSLRDecisionTree . SSLRRandomForest . TSVMSSLR . USMLeastSquaresClassifierSSLR . WellSVMSSLR . abalone . best_split-DecisionTreeClassifier-method . best_split . breast . calculate_gini . cclsSSLR . check_value . check_xy_interface . ckmeansSSLR . cluster_labels.model_sslr_fitted . cluster_labels . coBC . coBCCombine . coBCG . coBCReg . coBCRegG . coffee . constrained_kmeans . democratic . democraticCombine . democraticG . fit.model_sslr . fit_decision_tree-DecisionTreeClassifier-method . fit_decision_tree . fit_random_forest-RandomForestSemisupervised-method . fit_x_u.model_sslr . fit_x_u . fit_xy.model_sslr . get_centers.model_sslr_fitted . get_centers . get_class_max_prob . get_class_mean_prob . get_function . get_function_generic . get_levels_categoric . get_most_frequented . get_value_mean . get_x_y . gini_or_variance . gini_prob . grow_tree-DecisionTreeClassifier-method . grow_tree . knn_regression . lcvqeSSLR . load_RANN . load_RSSL . load_conclust . load_parsnip . mpckmSSLR . newDecisionTree . nullOrNumericOrCharacter-class . oneNN . predict-DecisionTreeClassifier-method . predict-RandomForestSemisupervised-method . predict.COREG . predict.EMLeastSquaresClassifierSSLR . predict.EMNearestMeanClassifierSSLR . predict.EntropyRegularizedLogisticRegressionSSLR . predict.LaplacianSVMSSLR . predict.LinearTSVMSSLR . predict.MCNearestMeanClassifierSSLR . predict.OneNN . predict.RandomForestSemisupervised_fitted . predict.SSLRDecisionTree_fitted . predict.TSVMSSLR . predict.USMLeastSquaresClassifierSSLR . predict.WellSVMSSLR . predict.coBC . predict.democratic . predict.model_sslr_fitted . predict.selfTraining . predict.setred . predict.snnrce . predict.snnrceG . predict.triTraining . predict_inputs-DecisionTreeClassifier-method . predict_inputs . predictions.GRFClassifierSSLR . predictions.model_sslr_fitted . predictions . print.model_sslr . reexports . seeded_kmeans . selfTraining . selfTrainingG . setred . setredG . snnrce . train_generic . triTraining . triTrainingCombine . triTrainingG . wine .
Some associated R codes: COREG.R . CoBC.R . DataSets.R . DecisionTree.R . Democratic.R . EMLeastSquaresClassifier.R . EMNearestMeanClassifier.R . EntropyRegularizedLogisticRegression.R . GRFClassifier.R . KMeans.R . LaplacianSVM.R . LinearTSVM.R . MCNearestMeanClassifier.R . OneNN.R . RandomForest.R . RcppExports.R . SETRED.R . SNNRCE.R . SemiSupervised.R . TSVM.R . USMLeastSquaresClassifier.R . WellSVM.R . coBCreg.R . pairwise_constraints_clustering.R . reexports.R . selftraining.R . train_predict.R . tritraining.R . Full SSLR package functions and examples
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