PCA
standard mode | Transformations category
Inputs
- poolIn (pool) - the pool where to get the spectral contrast feature vectors
Outputs
- poolOut (pool) - the pool where to store the transformed feature vectors
Parameters
- dimensions (integer ∈ [0, ∞), default = 0) :
- number of dimension to reduce the input to
- namespaceIn (string, default = spectral contrast) :
- will look for this namespace in poolIn
- namespaceOut (string, default = spectral contrast pca) :
- will save to this namespace in poolOut
Description
This algorithm applies Principal Component Analysis based on the covariance matrix of the signal.
- References:
- [1] Principal component analysis - Wikipedia, the free enciclopedia http://en.wikipedia.org/wiki/Principal_component_analysis