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

Source code