RSNNS: SnnsRObject-somPredictCurrPatSetWinners – R documentation

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RSNNS

SnnsRObject-somPredictCurrPatSetWinners

Get most of the relevant results from a som

Description

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

Usage

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

Arguments

`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

Value

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.

Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)

Initial release

2019-09-16