R: Semi-Supervised Classification Methods

# Semi-Supervised Classification Methods

## Documentation for package ‘ssc’ version 2.1-0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package README

## Help Pages

coBC | CoBC method
coBCCombine | Combining the hypothesis
coBCG | CoBC generic method
coffee | Time series data set
democratic | Democratic method
democraticCombine | Combining the hypothesis of the classifiers
democraticG | Democratic generic method
oneNN | 1-NN supervised classifier builder
predict.coBC | Predictions of the coBC method
predict.democratic | Predictions of the Democratic method
predict.OneNN | Model Predictions
predict.selfTraining | Predictions of the Self-training method
predict.setred | Predictions of the SETRED method
predict.snnrce | Predictions of the SNNRCE method
predict.triTraining | Predictions of the Tri-training method
selfTraining | Self-training method
selfTrainingG | Self-training generic method
setred | SETRED method
setredG | SETRED generic method
snnrce | SNNRCE method
triTraining | Tri-training method
triTrainingCombine | Combining the hypothesis
triTrainingG | Tri-training generic method
wine | Wine recognition data