AI RESEARCH
Some Theoretical Limitations of t-SNE
arXiv CS.LG
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ArXi:2604.13295v1 Announce Type: new t-SNE has gained popularity as a dimension reduction technique, especially for visualizing data. It is well-known that all dimension reduction techniques may lose important features of the data. We provide a mathematical framework for understanding this loss for t-SNE by establishing a number of results in different scenarios showing how important features of data are lost by using t