Behavioral Clustering and Factor Analysis Our data science team used machine learning clustering models to discover structures and hidden patterns within the client’s data. After a set of highly correlated customer features were identified, they were passed through a clustering algorithm to distill four previously unknown customer segments. A regression analysis of each segment’s features revealed what factors were most likely to contribute to certain outcomes—that is, paying on time or enrolling in APA.