clustering

Definitions

1. An unsupervised machine learning technique that groups similar data points together without predefined labels. Common algorithms include k-means, DBSCAN, and hierarchical clustering. Used for customer segmentation, anomaly detection, topic discovery, and exploratory data analysis where categories are not known in advance.

   In plain English: Letting a computer automatically sort data into groups based on similarity — like organizing customers into segments without telling it what the segments should be.

   Example: Clustering the user base by behavior revealed five distinct segments — power users, casual browsers, deal hunters, one-time buyers, and churned accounts.

Related Terms

• Embedding
• regression
• dimensionality reduction