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cs.LG2023
G-invariant diffusion maps
Eitan Rosen, Xiuyuan Cheng, Yoel Shkolnisky
The diffusion maps embedding of data lying on a manifold has shown success in tasks such as dimensionality reduction, clustering, and data visualization. In this work, we consider…
cs.LG2023
The G-invariant graph Laplacian
Eitan Rosen, Paulina Hoyos, Xiuyuan Cheng +2
Graph Laplacian based algorithms for data lying on a manifold have been proven effective for tasks such as dimensionality reduction, clustering, and denoising. In this work, we con…