Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

A new study introduced a machine learning ... target properties. "Our method provides a unique viewpoint for clustering which emphasizes understanding and learning from the relationship between ...

Machine learning (ML) methods, including a variety of supervised ... including hierarchical and k-means clustering, principal component analysis, random forest, support vector machine, and neural ...

Unsupervised machine learning widely uses K-means clustering to cluster data points into predetermined numbers. By using this method, marketing companies may identify distinct client segments ...