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Stable Dimensionality Reduction via Isometric Centroid-Encoder

Ghosh, Tomojit et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Many supervised dimensionality reduction methods promote intra-class compactness and inter-class separation but do not explicitly constrain class geometry, leading to variability in the relative arrangement of classes across independent runs. Such variability limits the reproducibility and interpret
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