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PCA

LPCASCORE​

lpcascore(Bag of (Vector of Number, Object), Number d)->(Vector of Number, Object label)
STABLE

Compute the d principal components of the data vectors in b

PCA​

pca(Bag of Vector of Number)->(Vector of Number, Matrix ``)
STABLE

No description.

PCASCORE​

pcascore(Bag of Vector of Number b, Number d) -> Vector of Number
STABLE

Compute the principal components of dimension d

for the data vectors in b

RANK_DIMENSIONS​

rank_dimensions(Bag of Vector of Number observations)->Bag of (Number, Number)
STABLE

Rank the dimensions in a set of observations by their variances

RANK_PCA_DIM​

rank_pca_dim(Vector sorted_pca)->Bag of (Number, Number)
STABLE

Rank the dimensions in a set of sorted PCA vectors by their variances

ROWMULT​

rowmult(Matrix m, Vector of Number w) -> Vector of Number
STABLE

Cartesian product of vectors in m with w

SORTPCA​

sortpca(Vector of Number val, Matrix vec) -> Vector
STABLE

Sort the output from pca() according to the eigenvalue magnitude

UNLABEL​

unlabel(Bag of (Vector of Number, Object)) -> Vector of Number v
STABLE

No description.