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.

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 ...

However, when combined with supervised learning, the unsupervised methods offer a method for data structuring and exploratory data analysis, which enhances the predictive modelling.

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab ...

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.