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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257427
Abstract: Dimensionality reduction is widely used to visualize complex high-dimensional data. This study presents a novel method for effective data visualization. Previous methods depend on local distance measurements for data manifold approximation. This leads to unreliable…
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Keywords:
data manifold;
spectralmap approximating;
approximating data;
manifold spectral ... See more keywords