practicum-7

Practicum 7: Clustering

Learning objectives:

• Implementing K-Means and Bisecting K-Means clustering algorithms
• Implementing Hierarchical Agglomerative Clustering using different cluster proximities
• Visualizing clusters (scatterplots and dendrograms)

Exercises

1. Implementing K-Means clustering

2. Implementing Bisecting K-Means clustering

3. Implementing Hierarchical Agglomerative Clustering