Clustering is an unsupervised learning algorithm that has a lot of value to add when it comes to the grouping of data in a dataset. Entities in each group are comparatively more similar to entities of that group than those of the other groups. This talk explores network clustering as an approach for insights. We’ll explore real-world movie datasets — and show which actors are close to each other, and which film industries are most isolated. We’ll then see how network clustering can be applied to product networks, patent networks, and sports networks, and give you a comprehensive, industry-level understanding of the same.

Key Takeaways for the Audience:

• How to get insights and patterns from the data even when there are no numbers
• Understand network analysis and community structure detection
• Understand applications of Network Analysis in the industry