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What is the main difference between agglomerative and divisive hierarchical clus

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Question: What is the main difference between agglomerative and divisive hierarchical clustering?

Options:

  1. Agglomerative starts with individual points, while divisive starts with one cluster
  2. Agglomerative is faster than divisive
  3. Divisive clustering is more commonly used than agglomerative
  4. There is no difference; they are the same

Correct Answer: Agglomerative starts with individual points, while divisive starts with one cluster

Solution:

Agglomerative clustering begins with individual data points and merges them into clusters, while divisive clustering starts with one cluster and splits it into smaller clusters.

What is the main difference between agglomerative and divisive hierarchical clus

Practice Questions

Q1
What is the main difference between agglomerative and divisive hierarchical clustering?
  1. Agglomerative starts with individual points, while divisive starts with one cluster
  2. Agglomerative is faster than divisive
  3. Divisive clustering is more commonly used than agglomerative
  4. There is no difference; they are the same

Questions & Step-by-Step Solutions

What is the main difference between agglomerative and divisive hierarchical clustering?
  • Step 1: Understand that clustering is a way to group similar data points together.
  • Step 2: Know that agglomerative clustering starts with each data point as its own cluster.
  • Step 3: In agglomerative clustering, the algorithm merges the closest clusters together until all points are in one cluster.
  • Step 4: Now, understand that divisive clustering works the opposite way.
  • Step 5: In divisive clustering, you start with one big cluster that contains all data points.
  • Step 6: The algorithm then splits this big cluster into smaller clusters until each point is its own cluster.
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