The program pnn implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets and should guess afterwards the group of any new observation. This neural network has the main advantage to begin generalization instantaneously even with a small set of known observations. It is delivered with four functions (learn, smooth, perf and guess) and a dataset. The functions are documented with examples and provided with unit tests.

Install the latest version of this package by entering the following in R:

`install.packages("pnn")`

Author | Pierre-Olivier Chasset |

Date of publication | 2013-05-07 22:17:22 |

Maintainer | Pierre-Olivier Chasset <pierre-olivier@chasset.net> |

License | AGPL |

Version | 1.0.1 |

http://flow.chasset.net/pnn/ |

MD5

TODO.md

README.md

R

R/what-else.R
R/smooth.R
R/pnn-package.r
R/perf.r
R/learn.R
R/kernel.R
R/holdout.R
R/guess.r
R/guess-probabilities.R
R/guess-category.R
R/data-norms.R
R/create.R
NEWS

NAMESPACE

man

man/smooth.Rd
man/pnn-package.Rd
man/perf.Rd
man/norms.Rd
man/learn.Rd
man/guess.Rd
inst

inst/tests

inst/tests/test-smooth.R
inst/tests/test-perf.R
inst/tests/test-learn.R
inst/tests/test-kernel.R
inst/tests/test-holdout.R
inst/tests/test-guess.R
inst/tests/test-create.R
inst/CITATION

DESCRIPTION

data

data/norms.rda

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

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