ICWS

ICWS, or Inverse Compression within the context of data analysis, is a technique used to measure how well data can be compressed or summarized. Essentially, it evaluates the information content or complexity of a dataset; lower ICWS values indicate data that is more predictable or compressible, while higher values suggest more randomness or complexity. This helps researchers understand the underlying structure of data, assess its variability, and optimize storage or processing strategies accordingly. It's a useful tool for analyzing data patterns, especially in fields like machine learning and information theory.