Learn how to use (and improve on) this foundational segmentation technique.
Yes, cluster analysis is old school. But it’s still one of the most widely used segmentation methods—and understanding it is essential, even if you’re working with more advanced techniques.
Dive into this practical session where we’ll walk through the basics and beyond.
You'll learn:
- How k-means cluster analysis works (and its key assumptions)
- When to use cluster analysis vs. latent class analysis
- How to handle issues like variable standardization and missing data
- Ways to evaluate the quality of your clusters
- What to do when your data just won’t cluster neatly
- How to improve segment stability and interpretability
Whether you’re learning the ropes or brushing up your fundamentals, this webinar will help you approach segmentation with more clarity and confidence.
Learn more at: https://www.displayr.com/
Book a live demo: https://www.displayr.com/book-a-demo/
____________________________________________________________________________________________
0:00:00-0:11:12 What is cluster analysis?
0:11:12-0:18:19 Why we cluster?
0:18:19-0:22:22 Data preparation
0:22:22–0:24:49 Create four clusters
0:24:49-0:41:05 Evaluate the quality of the clusters
0:41:05-0:41:59 Choose the best cluster
0:41:59-1:02:01 Q&A
____________________________________________________________________________________________
