Semi-Supervised Classification Methods

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Documentation for package ‘ssc’ version 2.1-0

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

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