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In hierarchical clustering, what does 'agglomerative' refer to?

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Question: In hierarchical clustering, what does \'agglomerative\' refer to?

Options:

  1. A method that starts with all points as individual clusters
  2. A method that requires the number of clusters to be predefined
  3. A technique that merges clusters based on distance
  4. A type of clustering that uses a centroid

Correct Answer: A method that starts with all points as individual clusters

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.

In hierarchical clustering, what does 'agglomerative' refer to?

Practice Questions

Q1
In hierarchical clustering, what does 'agglomerative' refer to?
  1. A method that starts with all points as individual clusters
  2. A method that requires the number of clusters to be predefined
  3. A technique that merges clusters based on distance
  4. A type of clustering that uses a centroid

Questions & Step-by-Step Solutions

In hierarchical clustering, what does 'agglomerative' refer to?
Correct Answer: Agglomerative clustering refers to a method where individual data points are combined into clusters based on their distances.
  • 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.
  • Agglomerative Clustering – Agglomerative clustering is a bottom-up approach where each data point starts as its own cluster and clusters are merged iteratively based on distance.
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