 Adjusted mutual information

Adjusted Mutual Information (AMI) is a measure used to evaluate the quality of clustering results compared to a ground truth classification. It is an adjustment of the Mutual Information (MI) metric, designed to account for the chance agreements that can occur in clustering processes. ### Definitions: 1. **Mutual Information (MI)**: MI quantifies the amount of information obtained about one random variable through another random variable.