Clustering algorithms are key to find important groups of values in an unsupervised way, i.e., by trying to find characteristics or patterns that are common to a set of points without labelling them. This is extremely important when we want to group customers based on certain behaviour or detect which behaviour is actually fraudulent.
V.I - Fraud Detection
Identifying anomalies and preventing fraudulent activity
in financial and transactional systems.
V.II - Customer Segmentation
Grouping users by behavior and characteristics to tailor
marketing and product strategies.