In hierarchical clustering, what is the result of the agglomerative approach?
Practice Questions
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Q1
In hierarchical clustering, what is the result of the agglomerative approach?
Clusters are formed by splitting larger clusters
Clusters are formed by merging smaller clusters
Clusters are formed randomly
Clusters are formed based on a predefined number
The agglomerative approach in hierarchical clustering starts with individual data points and merges them into larger clusters based on similarity.
Questions & Step-by-step Solutions
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Q
Q: In hierarchical clustering, what is the result of the agglomerative approach?
Solution: The agglomerative approach in hierarchical clustering starts with individual data points and merges them into larger clusters based on similarity.
Steps: 5
Step 1: Start with each data point as its own individual cluster.
Step 2: Calculate the similarity or distance between each pair of clusters.
Step 3: Identify the two clusters that are the most similar (or closest together).
Step 4: Merge these two clusters into a single larger cluster.
Step 5: Repeat steps 2 to 4 until all data points are merged into one single cluster.
