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
varying one and so on. The input data have to be
organized with each variable on a column and each data
point on 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