t-distributed stochastic neighbor embedding (t-SNE) is a dimensionality reduction technique particularly effective for visualizing high-dimensional datasets in a lower-dimensional space, typically two or three dimensions. This method emphasizes preserving local structure in the data, making it easier to identify clusters and patterns. t-SNE is widely used in fields like genomics to visualize complex data such as gene expression profiles or genetic variations among different samples.
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