CLASP

CLASP (Clustered, Large-scale, Sparse, and Polar) is a scientific method used to efficiently analyze large datasets, especially in materials science and chemistry. It groups similar data points together (clustering), handles big datasets with many variables (large-scale), focuses on key features that are most informative (sparse), and considers molecules with distinct regions or charges (polar). This approach helps researchers identify meaningful patterns and relationships within complex data, facilitating faster, more accurate discoveries in fields like drug development or material design.