👉 Met computing, or Metric Computing, is a paradigm in computer science and data analysis that focuses on the efficient processing and management of data using metric-based representations and operations. It leverages mathematical metrics, such as distances, norms, and angles, to model and analyze complex data structures, enabling more intuitive and effective algorithms for tasks like clustering, classification, and dimensionality reduction. By treating data as points in a metric space, Metric Computing facilitates the discovery of meaningful patterns and relationships, often leading to more interpretable and scalable solutions in fields like machine learning, computer vision, and network analysis.
