What is the main advantage of hierarchical clustering over K-means?
Correct Answer: Hierarchical clustering does not require the number of clusters to be predetermined.
- Step 1: Understand that clustering is a way to group similar items together.
- Step 2: Know that K-means is a method where you have to decide how many groups (clusters) you want before starting.
- Step 3: Realize that hierarchical clustering does not need you to decide the number of groups in advance.
- Step 4: Recognize that this flexibility allows you to explore different groupings without being limited to a fixed number.
- Step 5: Conclude that the main advantage of hierarchical clustering is its ability to adapt to different numbers of clusters based on the data.
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