UMAP: Transforming Multi-Dimensional Data into Comprehensive 2D Plots

Visualizing multi-dimensional datasets can be challenging. UMAP provides a solution by reducing the dimensions of your dataset to create 2D representations.

The scatter plot displayed above represents the fruit dataset, which originally contains four distinct features. By compressing it from four dimensions down to two, we can easily see four clusters that represent each type of fruit.

Link to UMAP.

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