Selecting base points for the Schreier-Sims algorithm for matrix groups

The pre-defined base kernel greatly affects the performance of multiple kernel learning (MKL), but selecting the pre-defined base kernel still has no theoretical guidance. In practice, it is very difficult to select a set of appropriate base kernels ...

We develop a general framework for defining and analyzing pseudospectra of matrix pencils. The framework so developed unifies various definitions of pseudospectra of matrix pencils proposed in the literature. We introduce and analyze critical points of ...

In data mining, clustering is a method of grouping similar points together. This grouping can be done using partitioning or hierarchical clustering algorithms. K-means is one of the partitioning clustering algorithms which is simple and faster than ...