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User Guide / Tutorial:

  • How to Use UMAP
  • Basic UMAP Parameters
  • Plotting UMAP results
  • UMAP Reproducibility
  • Transforming New Data with UMAP
  • Inverse transforms
  • Parametric (neural network) Embedding
  • UMAP on sparse data
  • UMAP for Supervised Dimension Reduction and Metric Learning
  • Using UMAP for Clustering
  • Outlier detection using UMAP
  • Combining multiple UMAP models
  • Better Preserving Local Density with DensMAP
  • Improving the Separation Between Similar Classes Using a Mutual k-NN Graph
  • Document embedding using UMAP
  • Embedding to non-Euclidean spaces
  • How to use AlignedUMAP
  • AlignedUMAP for Time Varying Data
  • Precomputed k-nn
  • Performance Comparison of Dimension Reduction Implementations
  • Release Notes
  • Frequently Asked Questions

Background on UMAP:

  • How UMAP Works
  • Performance Comparison of Dimension Reduction Implementations

Examples of UMAP usage

  • Interactive Visualizations
  • Exploratory Analysis of Interesting Datasets
  • Scientific Papers

API Reference:

  • UMAP API Guide
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  • Edit on GitHub

© Copyright 2018, Leland McInnes Revision f9d6fc87.

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