In hierarchical clustering, what does agglomerative clustering do?
Correct Answer: Agglomerative clustering merges clusters based on similarities.
- Step 1: Start with each data point as its own separate cluster.
- Step 2: Calculate the similarity between each pair of clusters.
- Step 3: Find the two clusters that are the most similar to each other.
- Step 4: Merge these two similar clusters into one larger cluster.
- Step 5: Repeat steps 2 to 4 until all data points are merged into a single cluster or until a desired number of clusters is reached.
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