spnn: Scale Invariant Probabilistic Neural Networks
Version 1.1

Scale invariant version of the original PNN proposed by Specht (1990) with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.

Package details

AuthorRomin Ebrahimi
Date of publication2018-03-20 18:21:50 UTC
MaintainerRomin Ebrahimi <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the spnn package in your browser

Any scripts or data that you put into this service are public.

spnn documentation built on March 21, 2018, 1:04 a.m.