Final Project for EECS 298: Computational Optics, Winter 2026, UC Irvine. This project trains a Conditional Flow Matching (CFM) model to map lensless measurements (y) to lensed images (x), and uses ...

Density-based clustering is used in many contexts including in single molecule localization microscopy (SMLM), where it is commonly used to elucidate the nanoscale organization of molecules. However, ...

ClustAnom is a scikit-learn compatible anomaly detection framework that utilizes user-defined clustering algorithms. It determines anomalies based on the distance of data points from their assigned ...

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...

The function of an antibody is intrinsically linked to the epitope it engages. Clonal clustering methods, based on sequence identity, are commonly used to group antibodies that will bind to the same ...

聚类或聚类分析是无监督学习问题。它通常被用作数据分析技术，用于发现数据中的有趣模式，例如基于其行为的客户群。 有许多聚类算法可供选择，对于所有情况，没有单一的最佳聚类算法。相反，最好探索一系列聚类算法以及每种算法的不同配置。在本教程 ...

Abstract: With the rapid development of 5G technology, it is an important research topic how to choose the communication network site considering the cost, business volume and other factors. This ...

We present a Python implementation of a D- and E-region chemistry and ionization code called pyGPI5. Particle precipitation that penetrates into the E- and D-region of the ionosphere-thermosphere ...