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tech.ml.dataset.pca

PCA and K-PCA using smile implementations.

PCA and K-PCA using smile implementations.
raw docstring

pca-datasetclj

(pca-dataset dataset
             &
             {:keys [method datatype] :or {method :svd datatype :float64}})

Run PCA on the dataset. Dataset must not have missing values or non-numeric string columns. Returns pca-info: {:means - vec of means :eigenvalues - vec of eigenvalues :eigenvectors - matrix of eigenvectors }

Run PCA on the dataset.  Dataset must not have missing values
or non-numeric string columns. Returns pca-info:
{:means - vec of means
 :eigenvalues - vec of eigenvalues
 :eigenvectors - matrix of eigenvectors
}
sourceraw docstring

pca-transform-datasetclj

(pca-transform-dataset dataset pca-info n-components result-datatype)

PCA transform the dataset returning a new dataset.

PCA transform the dataset returning a new dataset.
sourceraw docstring

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