Which clustering method is more suitable for discovering nested clusters?

Practice Questions

Q1
Which clustering method is more suitable for discovering nested clusters?
  1. K-means clustering
  2. Hierarchical clustering
  3. DBSCAN
  4. Gaussian Mixture Models

Questions & Step-by-Step Solutions

Which clustering method is more suitable for discovering nested clusters?
Correct Answer: Hierarchical clustering
  • Step 1: Understand what clustering means. Clustering is a way to group similar items together.
  • Step 2: Learn about nested clusters. Nested clusters are groups that can contain smaller groups within them.
  • Step 3: Know the types of clustering methods. There are different methods like hierarchical clustering and k-means clustering.
  • Step 4: Focus on hierarchical clustering. This method builds a tree-like structure called a dendrogram.
  • Step 5: See how the dendrogram works. It shows how clusters are formed at different levels, revealing smaller groups within larger ones.
  • Step 6: Conclude that hierarchical clustering is better for finding nested clusters because it shows relationships at various levels.
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