e.scal {klaR}R Documentation

Function to calculate e- or softmax scaled membership values

Description

Calculates the e- or softmax scaled membership values of an argmax based classification rule.

Usage

e.scal(x, k = 1, tc = NULL)

Arguments

x matrix of membership values
k parameter for e-scaling (1 for softmax)
tc vector of true classes (required if k has to be optimized)

Details

For any membership vector y exp(y*k) / sum(exp(y*k) is calculated. If k=1, the classical softmax scaling is used. If the true classes are given, k is optimized so that the apparent error rate is minimized.

Value

A list containing elements

sv Scaled values
k Optimal k

Author(s)

Karsten Luebke, luebke@statistik.tu-dortmund.de

References

Garczarek, Ursula Maria (2002): Classification rules in standardized partition spaces. Dissertation, University of Dortmund. URL http://hdl.handle.net/2003/2789

Examples

library(MASS)
data(iris)
ldaobj <- lda(Species ~ ., data = iris)
ldapred <- predict(ldaobj)$posterior
e.scal(ldapred)
e.scal(ldapred, tc = iris$Species)

[Package klaR version 0.5-8 Index]