UMAP Dimensionality Reduction in Python
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UMAP Dimensionality Reduction in Python
UMAP is a dimensionality reduction technique that assumes the available data samples are evenly distributed across a topological space, which can be approximated from these finite data samples and mapped to a lower-dimensional space. t-SNE preserves local structure in the data, while UMAP preserves both local and most of the global structure in ...
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UMAP - FlowJo Documentation
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