?
Categories
Account

Which clustering algorithm is often used for customer segmentation?

  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: Which clustering algorithm is often used for customer segmentation?

Options:

  1. K-Means
  2. Linear Regression
  3. Decision Trees
  4. Support Vector Machines

Correct Answer: K-Means

Solution:

K-Means is a popular clustering algorithm used for customer segmentation due to its efficiency and simplicity.

Which clustering algorithm is often used for customer segmentation?

Practice Questions

Q1
Which clustering algorithm is often used for customer segmentation?
  1. K-Means
  2. Linear Regression
  3. Decision Trees
  4. Support Vector Machines

Questions & Step-by-Step Solutions

Which clustering algorithm is often used for customer segmentation?
  • Step 1: Understand what clustering means. Clustering is a way to group similar items together.
  • Step 2: Know that customer segmentation is about dividing customers into groups based on their behaviors or characteristics.
  • Step 3: Learn about K-Means, which is a method used to perform clustering.
  • Step 4: Recognize that K-Means works by finding 'centroids' or center points for each group of customers.
  • Step 5: Understand that K-Means is popular because it is easy to use and works quickly with large amounts of data.
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