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gmanch94

dim-reduction

gmanch94/claude-code-aidlc-template/.claude/skills/dim-reduction/SKILL.md

Dimensionality reduction — algorithm selection (PCA/UMAP/t-SNE/autoencoder) by goal, variance explained threshold, component count decision, downstream use rules, and reconstruction quality. Use before clustering high-dimensional data, for visualization, or to remove multicollinearity.

Skill2 starsChanged 3 months ago
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No licence file, so all rights are reserved — read it at the source. Read it on GitHub.

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CLAUDE.md

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