| other,14-2-P06-2012,bq | <term> Laplacian </term> to recover a <term> | submanifold | </term> of data from a <term> high dimensionality | #11356 It works by calculating eigenvectors of an adjacency graph's Laplacian to recover a submanifold of data from a high dimensionality space and then performing cluster number estimation on the eigenvectors. |
