sfaExecute | R Documentation |
After completion of the learning phase (step="sfa") this function can be used
to apply the learned function to the input data.
The execution is completed in 4 steps:
1. projection on the input principal components (dimensionality
reduction)
2. expansion (if necessary)
3. projection on the whitened (expanded) space
4. projection on the slow functions
sfaExecute(sfaList, DATA, prj = NULL, ncomp = NULL)
sfaList |
A list that contains all information about the handled sfa-structure |
DATA |
Input data, each column a different variable |
prj |
If not NULL, the preprocessing step 1 is skipped for SFA2 |
ncomp |
number of learned functions to be used |
matrix DATA
containing the calculated output
sfa2
sfa1
sfaStep
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