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This is a high-performance dimensionality reduction microservice using UMAP (Uniform Manifold Approximation and Projection). It provides an efficient way to reduce high-dimensional data to 2D or 3D representations, making it easier to visualize and analyze complex datasets.
- Visualizing high-dimensional data in 2D or 3D space
- Reducing dimensionality of large datasets for machine learning tasks
- Exploring relationships and clusters in complex data
- Preprocessing step for other machine learning algorithms
- Visualizing word embeddings in a scatterplotcs
- Exploring customer segmentation in marketing analytics
- Visualizing image embeddings in computer vision tasks