Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Color indicates time to apoptosis smoothed by nearest neighbors (right). (middle) Similarity and dimensionality analysis for CELL DEATH NANOLIVE: mean cosine similarity scores (first row); RBF CKA ...

Learning a good graph similarity matrix in data clustering is very crucial. The goal of clustering is to construct a good graph similarity matrix such that the similarity of points between the same ...