Semi-Supervised Classification Methods
Overview
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. This learning paradigm has obtained promising results, specifically in the presence of a reduced set of labeled examples. This package implements a collection of self-labeled techniques to construct a classification model. This family of techniques enlarges the original labeled set using the most confident predictions to classify unlabeled data. The techniques implemented can be applied to classification problems in several domains by the specification of a supervised base classifier. At low ratios of labeled data, it can be shown to perform better than classical supervised classifiers.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 24
- Examples that run
- 82%9 run in a plain check · 2 never run
- Exported functions with examples
- 73%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 25%
Also includes 11 demo scripts (run with demo())
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
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Issues over time
PRs over time
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/mabelc/ssc on 2026-10-21.
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.1-0Latest
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 2.0.02018-03-27 · diff ↗ ·
removed 3 exports
bClassif, bClassifOneNN, statisticsadded 8 exports
coBCCombine, coBCG, democraticCombine, democraticG, selfTrainingG, setredG, triTrainingCombine, triTrainingG - RR 3.4.0 released · 2017-04-21
- 1.02016-10-05
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-10-05
- Total releases
- 3 / 10 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.2.3
- Bundled data
- 125 KB / 2 files
- Download size
- 437 KB
Cite
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