Identity Distance

Identity distance is a measure of how different two instances or data points are from each other, specifically based on their unique identifiers or inherent characteristics. Think of it as gauging how much two items or entities diverge in their core identifiers. For example, in data analysis, it can quantify how dissimilar two records are in terms of their key attributes. This concept helps in tasks like matching similar items, clustering data, and understanding relationships, by providing a standardized way to assess the degree of difference grounded in their identities.