Slow Feature Analysis in R


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Documentation for package ‘rSFA’ version 1.04

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rSFA-package Slow Feature Analysis in R
addNoisyCopies Add noisy copies for parametric bootstrap
etaval Computes the eta value of a signal (slowness)
gaussClassifier Classifier for SFA demos
gaussCreate Create an Gaussian classifier object
rSFA Slow Feature Analysis in R
sfa1 The SFA1 algorithm, linear SFA.
sfa1Create Create structured list for linear SFA
sfa2 The SFA2 algorithm, SFA with degree 2 expansion.
sfa2Create Create structured list for expanded SFA
sfaClassify Predict Class for SFA classification
sfaClassPredict Predict Class for SFA classification
sfaExecute Execute learned function for input data
sfaExpand Degree 2 Expansion
sfaNlRegress Perform non-linear regression
sfaPBootstrap Parametric Bootstrap
sfaStep Update a step of the SFA algorithm.
sfaTimediff Calculates the first derivative of signal data
xpDim Degree 2 Dimension Calculation