Cluster analysis, a commonly used machine-learning technique, uses these basic features to not only categorize materials and summarize similarities between them but also provide information ...

What Is Unsupervised Learning? Unsupervised learning is a type of machine learning that uses algorithms to analyze and draw inferences from unlabeled data.. The model is not given explicit ...

Unsupervised machine learning is a useful technology that helps organizations identify hidden customer groups and learn how to improve their tactics when used with K-means clustering.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

A new study introduced a machine learning-powered clustering model that incorporates both basic features and target properties, successfully grouping over 1,000 inorganic materials.