Is there any package in R that's commonly used for semi-supervised learning? [closed]

Is there any package in R that's commonly used for semi-supervised learning ? I have a dataset where I manually labeled 100 data points so I'd like to use semi-supervise learning for the rest of the data sets.

closed as off-topic by gung♦, whuber♦Aug 1 '16 at 14:15

This question appears to be off-topic. The users who voted to close gave this specific reason:

• "This question appears to be off-topic because EITHER it is not about statistics, machine learning, data analysis, data mining, or data visualization, OR it focuses on programming, debugging, or performing routine operations within a statistical computing platform. If the latter, you could try the support links we maintain." – gung, whuber
If this question can be reworded to fit the rules in the help center, please edit the question.

You can try for example the upclass package

There you will find the standard pdf reference and a vignette explaining it all along with examples. I think the function upclassify() would match your requirements.

Probably irrelevant now, but it might make the answer more complete to also mention the spa package as well. It uses a graph-based technique to learn a model. Basically it uses information from both the data point features and how similar data points are to each other. If you have a distance matrix for the data points, it might work well. This article explains it with a bit more detail and some examples. You can find the package binary files here:

https://cran.r-project.org/web/packages/spa/index.html

• @gung @Glen_b, done. I don't understand how the initial answer was any different however. Also, upclass gathers a variety of different algorithms for data classification, so comparing that to this would be somewhat apples-and-orangesish. Also, with so little info about the inquirer's dataset, there is not much more to be said. – Mohammad Ansarin Aug 1 '16 at 13:13