ssc 2.0.0-foss-2018b-R-3.5.1

Provides a collection of self-labeled techniques for semi-supervised classification. In semi-supervised classification, both labeled and unlabeled data are used to train a classifier.

Accessing ssc 2.0.0-foss-2018b-R-3.5.1

To load the module for ssc 2.0.0-foss-2018b-R-3.5.1 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load ssc/2.0.0-foss-2018b-R-3.5.1

BEAR Apps Version



  • C50 0.1.2
  • Cubist 0.2.2
  • e1071-1.7-2
  • kernlab-0.9-27
  • proxy-0.4-22
  • rlang 0.4.0
  • ssc 2.0.0
  • testthat 2.1.1

More Information

For more information visit the ssc website.


This version of ssc has a direct dependency on: foss/2018b R/3.5.1-foss-2018b

Last modified on 1st July 2019