Customer segmentation is a popular method used by brands to get a deeper insight into their target audience via unsupervised learning. Customer segmentation helps segment a brand's target audience into different buyer personas according to factors like buying behavior, gender, age, location, income, interests, and preferences. The project uses the partition method to split the customers according to these attributes. Other requirements for the customer segmentation project are R, K-mean clustering, Density-based clustering, and Model-based clustering.