Some theoretical limitations of t-SNE
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1Department of Mathematics, Stanford University, Stanford, CA 94305.
Abstract:
t-distributed Stochastic Neighborhood Embedding (t-SNE) has gained popularity as a dimension reduction technique, especially for visualizing data. It is well-known that dimension reduction may lose important data features. We provide a mathematical framework for understanding this loss for t-SNE, establishing several quantitative results across different scenarios that demonstrate how important structural information is lost.
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