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 1.48.0 Index]