AI Glossary
Clustering
Clustering is a machine learning technique that groups similar data together by identifying natural patterns and relationships within a dataset.
Overview
Clustering is a machine learning technique that groups similar data together.
Unlike classification, clustering does not require predefined categories.
Instead, the AI system identifies patterns and discovers natural groupings within the data.
This allows organizations to explore large datasets and uncover relationships that may not be immediately obvious.
Clustering is commonly used for customer segmentation, recommendation systems, and data analysis.
Why It Matters
Clustering helps reveal hidden patterns in information.
It allows organizations to better understand data, identify trends, and discover meaningful groups without requiring labeled examples.
Real-World Example
A retailer uses clustering to group customers based on purchasing behavior, helping the company create more relevant marketing campaigns.
Related Concepts
- Classification
- Dataset
- Features
- Unsupervised Learning
- Machine Learning