My Learning Cart
?
Categories
Account

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

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

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

Options:

  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

Correct Answer: It specifies the number of clusters to form

Solution: 

The \'k\' parameter in K-means specifies the number of clusters that the algorithm will attempt to form from the data.

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.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks