In this article, we will explain how unsupervised learning techniques can help group customers based on their shopping trends. There are two main algorithms used for clustering the data: K Means Clustering and Hierarchical Clustering. In this article, we will see how K-Means Clustering can be used to divide customers with similar shopping habits into groups.
