Other packages > Find by keyword >

SSLR  

Semi-Supervised Classification, Regression and Clustering Methods
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]
All associated links for this package
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
Previous versions and publish date:
0.9.0 (2020-03-20 18:10), 0.9.1 (2020-04-13 17:00), 0.9.2 (2020-07-20 13:10), 0.9.3.1 (2021-01-10 14:50), 0.9.3.2 (2021-05-23 22:30), 0.9.3 (2020-10-14 10:30)
Other packages that cited SSLR R package
View SSLR citation profile
Other R packages that SSLR depends, imports, suggests or enhances
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns