Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software,…
Clustering points in a vector space or nodes in a graph is a ubiquitous primitive in statistical data analysis, and it is commonly used for exploratory data analysis. In practice, it is often of in…
Inexact Nonconvex Newton-Type Methods
For solving large-scale nonconvex problems, we propose inexact variants of trust region and adaptive cubic regularization methods, which, to increase efficiency, incorporate various approximations.…
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