correspondence analysis

Correspondence analysis is a statistical technique used to explore relationships between categories in two sets of data, like words and images or products and regions. It visualizes these relationships on a map, showing how closely categories are associated—those near each other are more related, while those farther apart are less so. This helps identify patterns and connections in complex data, making it easier to interpret how different categories relate within a dataset. It's often used in market research, social sciences, and data visualization to uncover hidden structures.