A company wants to identify groups for its customers based on the customers' demographics and buying patterns. Which algorithm should the company use to meet this requirement?

The correct answer is B. K-means. K-means is a clustering algorithm commonly used to identify and group customers based on shared characteristics such as demographics and buying patterns, making it suitable for customer segmentation tasks.

Submitted by jordan8· Mar 30, 2026Machine Learning Algorithms

Question

A company wants to identify groups for its customers based on the customers’ demographics and buying patterns. Which algorithm should the company use to meet this requirement?

Options

AK-nearest neighbors (k-NN)
BK-means
CDecision tree
DSupport vector machine

How the community answered

(46 responses)

A
4% (2)
B
83% (38)
C
11% (5)
D
2% (1)

Explanation

K-means is a clustering algorithm commonly used to identify and group customers based on shared characteristics such as demographics and buying patterns, making it suitable for customer segmentation tasks.

Topics

#K-means#Clustering#Unsupervised Learning#Customer Segmentation

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