SnnsRObject-somPredictCurrPatSetWinners: Get most of the relevant results from a som
In RSNNS: Neural Networks using the Stuttgart Neural Network Simulator (SNNS)

SnnsRObject$somPredictCurrPatSetWinners

R Documentation

Get most of the relevant results from a som

SnnsR low-level function to get most of the relevant results from a SOM.

## S4 method for signature 'SnnsR'
somPredictCurrPatSetWinners(updateFuncParams=c(0.0, 0.0, 1.0), 
saveWinnersPerPattern=TRUE, targets=NULL)

`updateFuncParams`	parameters passed to the networks update function
`saveWinnersPerPattern`	should a list with the winners for every pattern be saved?
`targets`	optional target classes of the patterns

a list with three elements:

`nWinnersPerUnit`	For each unit, the amount of patterns where this unit won is given. So, this is a 1d vector representing the normal version of the som.
`winnersPerPattern`	a vector where for each pattern the number of the winning unit is given. This is an intermediary result that normally won't be saved.
`labeledUnits`	a matrix which – if the `targets` parameter is given – contains for each unit (rows) and each class present in the `targets` (columns), the amount of patterns of the class where the unit has won. From the `labeledUnits`, the `labeledMap` can be computed, e.g. by voting of the class labels for the final label of the unit.