AI-900 Question 97
Single answerA retail company wants to group customers based on their purchasing behavior so they can design targeted marketing campaigns. Which machine learning scenario does this problem represent?
- A
Classification
- B
Regression
- C
Clustering
- D
Recommendation
Show answer and explanation
Correct answer: C
Explanation
Clustering is a machine learning technique used to group similar data points together without predefined labels. In this scenario, the company is looking to group customers based on purchasing behavior, which is a classic use case for clustering. Unlike classification or regression, clustering does not involve predefined outputs or continuous value prediction, making it the most appropriate choice here.
- A. Incorrect.
Classification involves categorizing data into predefined classes or labels. This scenario does not involve predefined labels, so this is incorrect.
- B. Incorrect.
Regression predicts a continuous value, such as sales or temperature. Since this scenario focuses on grouping rather than predicting a numeric value, this is incorrect.
- C. Correct.
Clustering is used to group data points into clusters based on their similarities without predefined labels. Grouping customers based on purchasing behavior fits this description, making this the correct answer.
- D. Incorrect.
Recommendation systems suggest items to users based on their preferences or behavior. While related to customer behavior, this scenario is not about making recommendations but identifying groups, so this is incorrect.