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What is the role of the 'k' parameter in K-means clustering?

Practice Questions

Q1
What is the role of the 'k' parameter in K-means clustering?
  1. It determines the maximum number of iterations
  2. It specifies the number of clusters to form
  3. It sets the learning rate for the algorithm
  4. It defines the distance metric used

Questions & Step-by-Step Solutions

What is the role of the 'k' parameter in K-means clustering?
  • Step 1: Understand that K-means clustering is a method used to group data into clusters.
  • Step 2: The 'k' parameter is a number that you choose before running the algorithm.
  • Step 3: This number 'k' tells the algorithm how many clusters you want it to create.
  • Step 4: For example, if you set 'k' to 3, the algorithm will try to divide the data into 3 groups.
  • Step 5: The algorithm will then find the best way to group the data based on similarities.
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