Definition
The art of grouping similar data points together like organizing M&Ms by color, except with algorithms and actual business applications. In data science, it's how machines find patterns by playing matchmaker with related information, creating little cliques of similar data that actually serve a purpose. Whether it's customer segmentation or organizing server resources, clustering is basically Marie Kondo for your data—everything gets sorted into tidy little groups.
Example Usage
Our machine learning model uses clustering to segment customers into groups based on purchasing behavior, which is a fancy way of saying it figures out who buys weird stuff together.
Source: Data science and computer science terminology
Related Terms
Translate This Term
See “clustering” in Corporate Speak, Gen-Z Slang, Pirate Speak, and more.
Try the Translator