Dear colleagues, I am doing some research in data classification, and I would like to compare to some classification approaches that uses label propagation (see e.g. Zhu, Ghahramani, Lafferty, Semi-supervised Learning Using Gaussian Fields and
Harmonic Functions. In ICML, pp. 912–919, 2003.). Do you know of any software doing this that I can download and use? I am working with the classical UCI datasets ionosphere, pima, spam, etc, are there published results on those datasets for those methods?
Thanks and regards,
Renato Bruni
You can use: matlab or weka with its extention Meka. R may also be of use to you.
I advise you to use caret package of R which includes many classifiers and evaluation metrics to deal with classification problems.
http://topepo.github.io/caret/index.html
http://cran.r-project.org/web/packages/caret/index.html
http://www.jstatsoft.org/v28/i05/paper
Thank you for your suggestions. However, I would like to use the very specific approach of label propagation, and, at least after a quick search, I could not find it into the softwares you suggested. Do you know if the implement label propagation? Maybe they call it with a different name?
I suggest you to review MEKA.
I think that perhaps it's that you need.
Best regards!
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