New 4D-STEM method isolates atomic structures from clustered nanocrystals

Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...

The key to attacking 'undruggable' proteins: Transient clustering state reveals a moving target

Intrinsically disordered proteins lack a fixed structure, which is why they have been considered "undruggable" targets for ...
IEEE

Multi-view clustering via graph regularized and one-hot-constrained symmetric nonnegative matrix factorization

Abstract: The semi-supervised multiview clustering (MVC) methods based on non-negative matrix factorization (NMF) have attracted considerable attention due to their ability to utilize partial ...
IEEE

Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that typically operates without training labels. Recent advancements in deep graph clustering methods have shown ...