Association Analysis is a form of **unsupervised learning**.
In association analysis, the goal is to discover interesting relationships or associations between variables or items in a dataset without any predefined labels or target values. It's commonly used in market basket analysis and recommendation systems to identify patterns of co-occurrence or relationships between items in transactions or datasets. Unlike supervised learning, which involves predicting a target variable based on labeled data, association analysis focuses on uncovering hidden patterns or associations within the data itself.