rSFA-package |
Slow Feature Analysis |
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 |
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 |