Developer Guide


Quality Metrics for Principal Components Analysis

Given the results of the PCA algorithm, data set
of eigenvalues in decreasing order, full number of principal components
and reduced number of components
the problem is to evaluate the explained variances radio and noise variance.
for the PCA algorithm is
For description of the default PCA quality metrics, refer to Details.

Product and Performance Information


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Notice revision #20110804