Novel machine learning-based cluster analysis method that leverages target material property

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 discovery, as it allows researchers to identify promising classes of materials and explore new ones with similar functions and properties.