Slow Feature Analysis
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Documentation for package ‘rSFA’ version 1.5
- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.
Help Pages
| 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 |