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pca-dimensionality-reduction

separate

Use when performing PCA principal component dimensionality reduction on tabular numeric data. Supports command-line parameter input, automatic numeric feature selection, parameter validation, result directory creation, and CSV or TXT format result export.

When to use

• You need to reduce multiple numeric variables into a smaller set of principal components.
• You need a command-line PCA workflow with parameter validation.
• You need standardized output files for downstream analysis.

Skill page

Source