What are some real-world applications of unsupervised learning?

What are some real-world applications of unsupervised learning?

Unsupervised learning is used in various fields. For example, it's applied in customer segmentation, anomaly detection, and recommendation systems.

Can you explain how customer segmentation works?

Sure! Customer segmentation involves grouping customers based on similar characteristics or behaviors, helping businesses tailor their marketing strategies.

What about anomaly detection? How is that useful?

Anomaly detection identifies unusual patterns in data, which is crucial for fraud detection, network security, and monitoring system health.

Are there any specific algorithms used in unsupervised learning?

Yes, common algorithms include K-means clustering, hierarchical clustering, and Principal Component Analysis (PCA). They help in data analysis and pattern recognition.