Introduction - If you have any usage issues, please Google them yourself
The main objective of manifold learning is to find embedded in high-dimensional data space of a low-dimensional smooth manifold in recent years, a learning algorithm based on spectral theory of attention by the researchers introduced a manifold and manifold learning relationship, focused on the several representative theoretical spectra based manifold learning algorithms, and a comparative analysis algorithm, and finally a summary and further research done on the prospect 1