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GitHub / davisidarta / dbMAP
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davisidarta%2FdbMAP
Stars: 45
Forks: 4
Open Issues: 0
License: gpl-2.0
Language: Python
Repo Size: 29 MB
Dependencies:
11
Created: over 4 years ago
Updated: about 1 month ago
Last pushed: about 3 years ago
Last synced: 11 days ago
Topics: denoising, diffusion-process, dimensionality-reduction, graph-layout, high-dimensional, machine-learning, nearest-neighbors, single-cell, umap, visualization
Files
Dependencies
- annoy *
- dbmap *
- matplotlib *
- networkx *
- nmslib *
- numba *
- numpy *
- pandas *
- scikit-learn *
- scipy *
- setuptools *