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CMA (version 1.30.0)
pnnCMA-methods: Probabilistic Neural Networks
Description
Probabilistic Neural Networks is the term Specht (1990) used for a Gaussian kernel estimator for the conditional class densities.
Arguments
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
.