In which real-world application is K-means clustering often used?

Practice Questions

Q1
In which real-world application is K-means clustering often used?
  1. Spam detection in emails
  2. Customer segmentation in marketing
  3. Image recognition
  4. Natural language processing

Questions & Step-by-Step Solutions

In which real-world application is K-means clustering often used?
  • Step 1: Understand what K-means clustering is. It is a method used to group similar items together based on their features.
  • Step 2: Think about where this grouping can be useful in the real world. One common area is marketing.
  • Step 3: In marketing, businesses want to understand their customers better.
  • Step 4: K-means clustering helps businesses identify different groups of customers who have similar buying behaviors or preferences.
  • Step 5: By knowing these groups, businesses can tailor their marketing strategies to target each group effectively.
No concepts available.
Soulshift Feedback ×

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

Not likely Very likely