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rSFA (version 1.5)

Slow Feature Analysis

Description

Slow Feature Analysis (SFA), ported to R based on 'matlab' implementations of SFA: 'SFA toolkit' 1.0 by Pietro Berkes and 'SFA toolkit' 2.8 by Wolfgang Konen.

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Version

Install

install.packages('rSFA')

Monthly Downloads

168

Version

1.5

License

GPL (>= 2)

Maintainer

Martin Zaefferer

Last Published

March 29th, 2022

Functions in rSFA (1.5)

lcovUpdate

Update a covariance object
nlExpand

Expand a signal in the for Nonlinear Expansion demo
gaussLoad

Load a GAUSS object.
rSFA-package

Slow Feature Analysis
sfa1Create

Create structured list for linear SFA
sfaExpand

Degree 2 Expansion
sfa1

The SFA1 algorithm, linear SFA.
sfaExecute

Execute learned function for input data
lcovFix

Fix a covariance object
sfaGetIntRange

Helper Function of SFA.
sfaGetHf

Return a SFA function as a quadratic form.
sfa1Step

A step in the SFA1 algorithm.
lcovPca2

Improved Principal Component Analysis on a covariance object
sfaSave

Save a SFA object.
lcovTransform

Transform a covariance object
sfaBSh

Backslash operator.
sfaCheckCondition

Check Condition of a matrix for SFA
lcovPca

Principal Component Analysis on a covariance object
sfaStep

Update a step of the SFA algorithm.
sfaLoad

Load a SFA object.
sfaNlRegress

Perform non-linear regression
sfaTimediff

Calculates the first derivative of signal data
xpDim

Degree 2 Dimension Calculation
sfa2

The SFA2 algorithm, SFA with degree 2 expansion.
sfaClassPredict

Predict Class for SFA classification
sfaClassify

Predict Class for SFA classification
sfa2Create

Create structured list for expanded SFA
nlDim

Custom Nonlinear Dimension Calculation
sfaPBootstrap

Parametric Bootstrap
sfa2Step

A step in the SFA2 algorithm.
sfaPreproc

Preprocessing for SFA classification
customRepmat

Custom repmat Function
gaussClassifier

Classifier for SFA demos
etaval

Computes the eta value of a signal (slowness)
gaussCreate

Create an Gaussian classifier object
customSize

Custom Size Function.
gaussSave

Save a GAUSS object.
lcovCreate

Create a new covariance object.
addNoisyCopies

Add noisy copies for parametric bootstrap
customRep

Custom Repeater Function