In hierarchical clustering, what does 'agglomerative' mean?
Practice Questions
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Q1
In hierarchical clustering, what does 'agglomerative' mean?
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 distance
Agglomerative hierarchical clustering starts with each data point as its own cluster and merges them into larger clusters based on similarity.
Questions & Step-by-step Solutions
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Q
Q: In hierarchical clustering, what does 'agglomerative' mean?
Solution: Agglomerative hierarchical clustering starts with each data point as its own cluster and merges them into larger clusters based on similarity.
Steps: 4
Step 1: Understand that hierarchical clustering is a method of grouping data points based on their similarities.
Step 2: Know that 'agglomerative' means starting with individual data points as separate clusters.
Step 3: Realize that in agglomerative clustering, you look for the closest clusters and merge them together.
Step 4: Continue merging clusters until all data points are combined into one large cluster or until a desired number of clusters is reached.
