PCA Class Reference
[Machine Learning]

Perform Principal Component Analysis. More...

#include <PCA.h>

Inherits Marsyas::MarSystem.

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Detailed Description

Perform Principal Component Analysis.

Perform Principal Component Analysis (PCA) on all samples of the incoming realvec of data. The correlation method is taken, with a correlation matrix computed over all samples within the single input realvec. Eigenvalue/Eigenvector calculation is by the QL algorithm (ie. not suitable when the correlation matrix is singular or near singular). Output is the set of input samples projected onto the top "npc" (a MarSystem control) principal components.

Definition at line 43 of file PCA.h.

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The documentation for this class was generated from the following files:

• /home/marsyas/marsyas/src/marsyas/PCA.h
• /home/marsyas/marsyas/src/marsyas/PCA.cpp