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openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings [2], massive speed improvements [3] [4] [5], enabling t-SNE to scale to millions of data points, and various tricks to improve the global alignment of the resulting visualizations.
Features
- openTSNE requires Python 3.8 or higher in order to run
- openTSNE is also available through pip
- Documentation available
- Examples available
- Install from source
Project Samples
Categories
Machine LearningLicense
BSD LicenseFollow openTSNE
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