AI RESEARCH
DR-SNE: Density-Regularized Stochastic Neighbor Embedding
arXiv CS.LG
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ArXi:2605.02060v1 Announce Type: new Dimensionality reduction methods such as t-SNE are designed to preserve local neighborhood structure but do not explicitly account for how probability mass is distributed, often leading to distortions of data density. We reformulate dimensionality reduction as the joint alignment of two components: (i) conditional structure, capturing local relationships, and (ii) relative density structure, captured via local density statistics. Based on this perspective, we.