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