ssc 2.0.0-foss-2018b-R-3.5.1

Deprecated: Use of this version of ssc is deprecated. More information on our Applications Support and Retention Policy.

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, BEARCloud VMs, and CaStLeS VMs):

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

BEAR Apps Version




The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.


  • 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