sfa1: The SFA1 algorithm, linear SFA.

In rSFA: Slow Feature Analysis

The SFA1 algorithm, linear SFA.

Description

Y = sfa1(X) performs linear Slow Feature Analysis on the input data X and returns the output signals Y ordered by increasing temporal variation, i.e. the first signal Y[,1] is the slowest varying one, Y[,2] the next slowest and so on. The input data have to be organized with each variable in a column and each data (time) point in a row, i.e. X(t,i) is the value of variable nr. i at time t.

Usage

sfa1(x)

Arguments

x	Input data, each column a different variable

Value

list sfaList with all learned information, where sfaList$y contains the outputs

See Also

sfaStep sfa1Create sfaExecute

rSFA documentation built on March 29, 2022, 5:05 p.m.