Other packages > Find by keyword >

ssc  

Semi-Supervised Classification Methods
View on CRAN: Click here


Download and install ssc package within the R console
Install from CRAN:
install.packages("ssc")

Install from Github:
library("remotes")
install_github("cran/ssc")

Install by package version:
library("remotes")
install_version("ssc", "2.1-0")



Attach the package and use:
library("ssc")
Maintained by
Christoph Bergmeir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-05
Latest Update: 2019-12-15
Description:
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.
How to cite:
Christoph Bergmeir (2016). ssc: Semi-Supervised Classification Methods. R package version 2.1-0, https://cran.r-project.org/web/packages/ssc. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0 (2016-10-05 09:30), 2.0.0 (2018-03-27 06:00)
Other packages that cited ssc R package
View ssc citation profile
Other R packages that ssc depends, imports, suggests or enhances
Complete documentation for ssc
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA