pnn: Probabilistic neural networks
Version 1.0.1

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.

AuthorPierre-Olivier Chasset
Date of publication2013-05-07 22:17:22
MaintainerPierre-Olivier Chasset <pierre-olivier@chasset.net>
LicenseAGPL
Version1.0.1
URL http://flow.chasset.net/pnn/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("pnn")

Getting started

Package overview
README.md

Popular man pages

guess: Guess
learn: Learn
norms: Norms
perf: Perf
pnn-package: PNN
smooth: Smooth
See all...

All man pages Function index File listing

Man pages

guess: Guess
learn: Learn
norms: Norms
perf: Perf
pnn-package: PNN
smooth: Smooth

Functions

create.pnn Source code
ds Source code
fA Source code
guess Man page Source code
guess.category Source code
guess.probabilities.of.each.category Source code
hold_out Source code
iToMinimize Source code
is.data.frame.with.real.variables Source code
is.pnn.performed Source code
is.pnn.smoothed Source code
is.pnn.trained Source code
is.trainingset.correct Source code
learn Man page Source code
norms Man page
pattern Source code
patterns Source code
perf Man page Source code
plot.sigma Source code
pnn Man page
pnn-package Man page
smooth Man page Source code
what.else Source code

Files

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
pnn documentation built on May 19, 2017, 10:43 p.m.

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