Filter raw principal component data automatically until only the top 2 PCs remain.
a numerical R matrix or data frame.
Indirect recursion in the case of optimal subset ambiguity (i.e. different models for maxBIC and maxLikelihood)
list of iteration results from PCA filtering, where each iteation has one less PC. List elements are PCA matrices. Last entry in the list corresponds to the top 2 PCs for clustering.
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