Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In
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Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In
T-distributed stochastic neighbor embedding (t-SNE) is a dimensionality reduction technique that helps users visualize high-dimensional data sets. It takes the original data that is entered into the algorithm and matches both distributions to determine how to best represent this data using fewer dimensions.
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