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What does the term 'centroid' refer to in K-Means clustering?

Practice Questions

Q1
What does the term 'centroid' refer to in K-Means clustering?
  1. The point that represents the center of a cluster
  2. The maximum distance between points in a cluster
  3. The average distance of points from the origin
  4. The total number of clusters formed

Questions & Step-by-Step Solutions

What does the term 'centroid' refer to in K-Means clustering?
  • Step 1: Understand that K-Means clustering is a method used to group similar data points together.
  • Step 2: In this method, we divide the data into 'k' number of groups or clusters.
  • Step 3: Each cluster has a center point, which is called the 'centroid'.
  • Step 4: The centroid is calculated as the average position of all the data points in that cluster.
  • Step 5: The centroid helps to represent the entire cluster by showing where the center of the group is located.
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