SpectralMAP: Approximating Data Manifold With Spectral Decomposition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: data manifold; spectralmap approximating; approximating data; manifold spectral ... See more keywords