t-SNE is a powerful technique for visualizing high-dimensional data in a low-dimensional space. It is particularly useful for exploring the structure of complex datasets and identifying patterns or clusters.
This repository contains a Python package for visualizing high-dimensional data using t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm.
- Apply t-SNE to your high-dimensional data.
- Visualize the results in 2D or 3D.
- Customize the visualization with various parameters.
- Save the visualizations as image files.
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Contributions are welcome! If you encounter any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.