Generalized Hebbian Algorithm


Synopsis

Generalized Hebbian Algorithm (GHA). Performs an iterative principal components analysis.


Description

Generalized Hebbian Algorithm (GHA) is an iterative method to compute principal components. From a computational point of view, it can be advantageous to solve the eigenvalue problem by iterative methods which do not need to compute the covariance matrix directly. This is useful when the ExampleSet contains many Attributes (hundreds, thousands). The operator outputs a GHAModel. With the ModelApplier you can transform the features.


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ExampleProcess