pnnCMA-methods {CMA}R Documentation

Probabilistic Neural Networks

Description

Probabilistic Neural Networks is the term Specht (1990) used for a Gaussian kernel estimator for the conditional class densities.

Methods

X = "matrix", y = "numeric", f = "missing"
signature 1
X = "matrix", y = "factor", f = "missing"
signature 2
X = "data.frame", y = "missing", f = "formula"
signature 3
X = "ExpressionSet", y = "character", f = "missing"
signature 4

For references, further argument and output information, consult pnnCMA.


[Package CMA version 1.0.0 Index]