The Study conducted in a choosy environment on Men's Apparel segment. It gives insight on how market basket analysis techniques helps in understanding the affinity analysis on purchasing behavior. Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns. It involves analyzing large data sets, such as purchase history, to reveal product groupings, as well as products that are likely to be purchased together. The goal of Market Basket Analysis is to understand consumer behavior by identifying relationships between the items that people buy. For example, people who buy green tea are also likely to buy honey. So Market Basket Analysis would quantitatively establish that there is a relationship between Green Tea and Honey. In simple terms Basically, Market basket analysis in data mining is to analyze the combination of products which been bought together. This is a technique that gives the careful study of purchases done by a customer in a supermarket. This concept identifies the pattern of frequent purchase items by customers.