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OpenClaw Skills & Use Case Index

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Skills tagged: manifold learning

Browse skills that share this tag.

  • umap-learn - Reduce high-dimensional data with UMAP
    dimensionality reductionmanifold learningdata visualizationembedding

    ★ 1 · Updated 2026-09-29

    Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, and clustering preprocessing.

    ⚙ Reduce data dimensions⚙ Create 2D or 3D embeddings⚙ Tune embedding parameters
  • umap-learn - UMAP dimensionality reduction and embeddings
    dimensionality reductionmanifold learningembeddingsvisualization

    ★ 0 · Updated 2026-09-29

    Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, new-data transformation, and clustering preprocessing.

    ⚙ Reduce dimensionality⚙ Create low-dimensional embeddings⚙ Fit supervised embeddings
  • umap-learn - Reduce high-dimensional data with UMAP
    dimensionality reductionmanifold learningdata visualizationsupervised learning

    ★ 0 · Updated 2026-09-29

    Applies UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, and clustering preprocessing.

    ⚙ Standardize input features⚙ Fit UMAP embeddings⚙ Transform new data
  • umap-learn - Reduce high-dimensional data with UMAP
    dimensionality reductionmanifold learningembeddingvisualization

    ★ 0 · Updated 2026-09-29

    Apply UMAP for nonlinear dimensionality reduction, visualization, supervised embeddings, new-data transformation, and clustering preprocessing.

    ⚙ Reduce data dimensionality⚙ Visualize low-dimensional embeddings⚙ Prepare clustering features