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