Scalability and robustness of spectral embedding: landmark diffusion is all you need

Chao Shen, Hau-Tieng Wu

While spectral embedding is a widely applied dimension reduction technique in various fields, so far it is still challenging to make it scalable to handle ``big data''. On the othe…