Most asked top Interview Questions and Answers & Online Test
Education platform for interview prep, online tests, tutorials, and live practice

Build skills with focused learning paths, mock tests, and interview-ready content.

WithoutBook brings subject-wise interview questions, online practice tests, tutorials, and comparison guides into one responsive learning workspace.

Prepare Interview

Data Science Interview Questions and Answers

Question: Explain the K-means clustering algorithm and its use cases.
Answer: K-means is an unsupervised clustering algorithm that partitions data into k clusters based on similarity. It aims to minimize the sum of squared distances between data points and their assigned cluster centroids.

Example:

Segmenting customers based on purchasing behavior to identify marketing strategies for different groups.

Save For Revision

Bookmark this item, mark it difficult, or place it in a revision set.

Open My Learning Library
Is it helpful? Yes No

Most helpful rated by users:

Copyright © 2026, WithoutBook.