Data Mining for Affinity and Clustering
Lecture no. 6 from the course: Mathematical Decision Making: Predictive Models and Optimization
Taught by Professor Scott P. Stevens | 29 min | Categories: The Great Courses Plus Online Mathematics Courses
Delve deeper into data mining by exploring affinity analysis, or “what goes with what.” One approach uses association rules to discover relevant connections between variables, while another employs clustering. For example, Pandora Radio uses these tools to make music recommendations based on a listener’s song preferences.