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In hierarchical clustering, what does agglomerative clustering do?
In hierarchical clustering, what does agglomerative clustering do?
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In hierarchical clustering, what does agglomerative clustering do?
Starts with all data points as individual clusters and merges them
Starts with one cluster and splits it into smaller clusters
Randomly assigns data points to clusters
Uses a predefined number of clusters
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Agglomerative clustering begins with each data point as its own cluster and progressively merges them based on their similarities.
Questions & Step-by-step Solutions
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Q: In hierarchical clustering, what does agglomerative clustering do?
Solution:
Agglomerative clustering begins with each data point as its own cluster and progressively merges them based on their similarities.
Steps: 5
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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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