In hierarchical clustering, what does 'agglomerative' refer to?
Practice Questions
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Q1
In hierarchical clustering, what does 'agglomerative' refer to?
A method that starts with all points as individual clusters
A method that requires the number of clusters to be predefined
A technique that merges clusters based on distance
A type of clustering that uses a centroid
Agglomerative clustering begins with each data point as its own cluster and merges them iteratively based on distance until a single cluster is formed.
Questions & Step-by-step Solutions
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Q
Q: In hierarchical clustering, what does 'agglomerative' refer to?
Solution: Agglomerative clustering begins with each data point as its own cluster and merges them iteratively based on distance until a single cluster is formed.
Steps: 5
Step 1: Start with each data point as its own separate group or cluster.
Step 2: Calculate the distance between each pair of clusters.
Step 3: Find the two clusters that are closest together (the smallest distance).
Step 4: Merge these two closest clusters into one larger cluster.
Step 5: Repeat steps 2 to 4 until all data points are merged into a single cluster.
