Which unsupervised learning algorithm is used for market segmentation? [Video]

Market segmentation often uses unsupervised learning algorithms to group customers based on similarities. 🤖 One common algorithm for this task is K-means clustering. It organizes data into clusters, helping businesses identify distinct customer groups for targeted marketing strategies. 🛍️ Unlike supervised learning algorithms such as linear regression and decision trees, K-means does not require labeled data. This makes it ideal for exploratory data analysis and uncovering hidden patterns in customer behavior. 🔍