AI RESEARCH
Class Angular Distortion Index for Dimensionality Reduction
arXiv CS.LG
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ArXi:2605.00637v1 Announce Type: new Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high-level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over-emphasize them. Yet, even when clusters appear distinct, their relative arrangement in the projection may be arbitrary or misleading, a common issue in techniques such as t-SNE and