PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
☆952Mar 3, 2026Updated last month
Alternatives and similar repositories for PaCMAP
Users that are interested in PaCMAP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LocalMAP: Dimension Reduction with Locally Adjusted Graphs☆63Mar 5, 2026Updated last month
- TriMap: Large-scale Dimensionality Reduction Using Triplets☆327Nov 17, 2025Updated 4 months ago
- Hierarchical Uniform Manifold Approximation and Projection☆240Feb 18, 2025Updated last year
- Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)☆116Feb 11, 2026Updated 2 months ago
- ☆24Nov 20, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Uniform Manifold Approximation and Projection☆8,139Mar 23, 2026Updated 2 weeks ago
- Bayesian or-of-and☆37Mar 11, 2022Updated 4 years ago
- Pairwise Controlled Manifold Approximation (PaCMAP) for dimensionality reduction☆20Feb 3, 2026Updated 2 months ago
- Density-preserving data visualization tools den-SNE and densMAP☆117Apr 27, 2021Updated 4 years ago
- ☆24Dec 11, 2021Updated 4 years ago
- Dimensionality reduction in very large datasets using Siamese Networks☆343Nov 10, 2025Updated 5 months ago
- A Python nearest neighbor descent for approximate nearest neighbors☆962Mar 30, 2026Updated last week
- Creating beautiful plots of data maps☆993Mar 24, 2026Updated 2 weeks ago
- Minimum-distortion embedding with PyTorch☆582Feb 26, 2026Updated last month
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis☆105Apr 1, 2026Updated last week
- Code repository for the paper "Towards a Comprehensive Evaluation of Dimension Reduction Methods for Data Visualization"☆13Jul 4, 2024Updated last year
- ☆96Apr 18, 2024Updated last year
- Explaining dimensionality results using SHAP values☆55Jan 5, 2026Updated 3 months ago
- A Python package for hubness analysis and high-dimensional data mining☆46May 31, 2024Updated last year
- Initialization is critical for preserving global data structure in both t-SNE and UMAP