e.scal: 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)
Value
A list containing elements
sv
Scaled values
k
Optimal k
Details
For any membership vector y \(\exp(y\cdot k) / \sum\exp(y\cdot k)\) 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.
References
Garczarek, Ursula Maria (2002): Classification rules in standardized partition spaces.
Dissertation, University of Dortmund.
URL http://hdl.handle.net/2003/2789