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Implements several safe graph-based semi-supervised learning algorithms. The first algorithm is the Semi-Supervised Semi-Parametric Model (S4PM) and the fast Anchor Graph version of this approach. For additional technical details, refer to Culp and Ryan (2013) <http://jmlr.org/papers/v14/culp13a.html>, Ryan and Culp (2015) <http://www.jmlr.org/papers/v16/ryan15a.html> and the package vignette. The underlying fitting routines are executed in C++. All tuning parameter estimation is optimized using K-fold Cross-Validation.
Package details |
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Author | Mark Vere Culp |
Maintainer | Mark Vere Culp <mvculp@mail.wvu.edu> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
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