| sfa1 {rSFA} | R Documentation |
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
[Package rSFA version 1.5 Index]