In hierarchical clustering, what is agglomerative clustering?
Correct Answer: Agglomerative clustering is a bottom-up approach in hierarchical clustering.
- Step 1: Start with each data point as its own separate cluster.
- Step 2: Look for the two closest clusters (or data points) based on a distance measure.
- Step 3: Merge these two closest clusters into one larger cluster.
- Step 4: Repeat steps 2 and 3 until all data points are merged into a single cluster or until a desired number of clusters is reached.
- Step 5: The result is a hierarchy of clusters that can be visualized as a tree-like structure called a dendrogram.
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