Model-based clustering is popularly used in statistical literature, which often models the data with a Gaussian mixture model. As a consequence, it requires estimation of a large amount of parameters, ...

An important goal in image analysis is to cluster and recognize objects of interest according to the shapes of their boundaries. Clustering such objects faces at least four major challenges including ...

Association of 17q22 Amplicon Via Cell-Free DNA With Platinum Chemotherapy Response in Metastatic Triple-Negative Breast Cancer Patients with HPV DNA-positive OPCs with locoregionally advanced ...

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

Reinforcement Method for Problem-Solving Model Based on Hierarchical Thinking Chains ...

Epigenetic silencing governs key biological processes, from flowering time in plants to preventing uncontrolled cell growth ...

A breakthrough AI model analyzes diverse data to reveal faster Alzheimer’s progression in Black females, offering a powerful tool for early detection and personalized care. Study: Prediction and ...