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OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

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Skills with output: Cluster labels

Browse skills that produce this output.

  • seuratclustering - Cluster single-cell RNA-seq data with Seurat
    single-cell RNA-seqSeuratunsupervised clusteringUMAP

    ★ 650 · Updated 2026-10-01

    Performs unsupervised single-cell RNA-seq clustering with Seurat using nearest-neighbor graphs, UMAP, and Louvain or Leiden algorithms.

    ⚙ Find nearest neighbors⚙ Compute UMAP embeddings⚙ Identify cell clusters
  • umap-learn - UMAP dimensionality reduction and embedding
    dimensionality reductionmanifold learningembeddingsvisualization

    ★ 2 · Updated 2026-09-29

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

    ⚙ Reduce data dimensions⚙ Create low-dimensional embeddings⚙ Guide embeddings with labels
  • 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 - 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
  • bio-single-cell-clustering - Single-Cell RNA-Seq Clustering Analysis
    single-cellclusteringbioinformaticsdimensionality-reduction

    ★ 22 · Updated 2026-03-20

    Perform dimensionality reduction and clustering on single-cell RNA-seq data using Seurat or Scanpy

    ⚙ Run PCA⚙ Compute neighbors⚙ Run Leiden clustering