What is the main advantage of using hierarchical clustering over K-means?
Correct Answer: Hierarchical clustering does not require the number of clusters to be specified in advance.
- Step 1: Understand that clustering is a way to group similar items together.
- Step 2: Know that K-means clustering requires you 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 beforehand.
- Step 4: Recognize that this flexibility in hierarchical clustering allows you to explore different groupings of the data.
- Step 5: Conclude that the main advantage of hierarchical clustering is its ability to form clusters without needing a pre-set number.
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