This topic describes the information about the Clustering.

Clustering is an unsupervised learning technique that groups data points with similar characteristics into clusters. It is useful for segmenting data where the groups are not previously known.

For example: Suppose you have a dataset of customers with the columns: CUSTOMER_ID, AGE, INCOME, SPENDING_SCORE.

By applying clustering, the system might automatically group these customers into clusters based on similarities in age, income, and spending behaviour.