Clustering Exercises

Summary

• Clustering is an unsupervised machine learning methodology
• It is used to group and identify similar observations when we do not have labels that identify the groups
• It is often a preprocessing or an exploratory step in the data science pipeline
• What groupings exist in the data already? (Clustering)

Clustering Use Cases

• Text: Document classification, summarization, topic modeling, recommendations
• Geographic: Crime zones, housing prices
• Marketing: Customer segmentation, market research
• Anomaly Detection: Account takeover, security risk, fraud
• Image Processing: Radiology, security