| PCAREC | |
Computes reconstructed vector after PCA projection.
Synopsis:
Y = pcarec(X,model)
Description:
The input vectorts X are projected onto Z using linear
projection trained by the Principal Component Analysis (PCA).
The vectors Y are computed from Z as a reconstruction of
the original vectors X:
PCA Reconstr
X ---> Z ---> Y
Input:
X [dim x num_data] Input vectors.
model [struct] Linear projection trained by PCA.
Output:
Y [dim x num_data] Reconstructed vectors.
See also
LINPROJ, PCA, KPCAREC.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
25-may-2004, VF
5-may-2004, VF
22-apr-2004, VF
17-mar-2004, VF, created.