Within the domain of unsupervised machine learning is unsupervised clustering, also known as “ clustering analysis,” which enables organizations to group unlabeled data into meaningful categories.

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.

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

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 ...

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Target Material Property‐Dependent Cluster Analysis of Inorganic Compounds. Advanced Intelligent Systems, 2024; DOI: 10.1002/aisy.202400253 ...