learn: Supervised Learning
In alstat/rface: Face and Pattern Recognition with PCA and Neural Nets.

Description Usage Arguments Examples

Supervised the algorithm to learn from the training data set.

learn(x)

`x`	matrix input of class `images`; this object contains the imported images transformed into matrix by `importImages` function.

To reproduce this example, please refer to \code{https://github.com/alstat/rface}

# Call the Face Recognition package
library(rface)
# Import all images in the directory "data/jaffe/"
imgData <- importImages("~/Downloads/jaffe_training/", display = FALSE)

# Train the algorithm for the images
model <- learn(imgData)

# Show the eigen faces
showFace(model)