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Unsupervised Learning (Clustering-based Customer Segmentation)
Hierarchical Clustering
Learning Outcome
5
Differentiate linkage methods.
4
Find optimal number of clusters.
3
Interpret dendrograms.
2
Understand Agglomerative clustering process.
1
Compare Hierarchical Clustering with K-Means.
The Agglomerative Dance
The Secret Weapon: The Dendrogram
Finding 'K': Slicing the Tree
The Math: How Do Groups Measure Distance?
Pros & Cons Cheat Sheet
Summary
4
Ward’s method keeps clusters compact.
3
Cut the tree to find optimal clusters.
2
Dendrogram shows merge history and distances.
1
Bottom-up clustering (each point → one cluster → merge).
Quiz
What does dendrogram height represent?
A. Number of data points
B. Distance between clusters
C. Processing time
D. Accuracy
Quiz-Answer
What does dendrogram height represent?
A. Number of data points
B. Distance between clusters
C. Processing time
D. Accuracy
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