emuR (version 0.1.9)

train: Train a Gaussian Model

Description

Trains a Gaussian Model

Usage

train(x, lab = rep("x", nrow(x)))

Arguments

x

A data vector or matrix.

lab

A vector of labels parallel to x. If missing, all data is assumed to be from the same class.

Value

A structure with the following components:

Details

This function is used to train a gaussian model on a data set. The result can be passed to either the mahal or bayes.lab functions to classify either the training set (x) or a test set with the same number of dimensions. Train simply finds the mean and inverse covariance matrix/standard deviation for the data corresponding to each unique label in labs.

See Also

mahal, bayes.lab, mahalplot, bayes.plot