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RSNNS (version 0.4-4)

analyzeClassification: Converts continuous outputs to class labels

Description

This function converts the continuous outputs to binary outputs that can be used for classification. The two methods 402040, and winner-takes-all (WTA), are implemented as described in the SNNS User Manual 4.2.

Usage

analyzeClassification(y, method="WTA", l=0, h=0)

Arguments

y
inputs
method
"WTA" or "402040"
l
lower bound, e.g. in 402040: l=0.4
h
upper bound, e.g. in 402040: h=0.6

Value

  • the position of the winning unit (i.e., the winning class), or zero, if no classification was done.

Details

The following text is an edited citation from the SNNS User Manual 4.2 (pp 269):

[object Object],[object Object]

References

Zell, A. et al. (1998), 'SNNS Stuttgart Neural Network Simulator User Manual, Version 4.2', IPVR, University of Stuttgart and WSI, University of Tübingen. http://www.ra.cs.uni-tuebingen.de/SNNS/

See Also

encodeClassLabels