GATE 2026 Unsupervised Learning

Prepare effectively for the GATE 2026 Data Science and Artificial Intelligence paper with this dedicated Unsupervised Learning quiz. This quiz features 30 multiple-choice questions covering essential topics such as clustering, dimensionality reduction, anomaly detection, PCA, t-SNE, and popular algorithms like K-means, DBSCAN, and hierarchical clustering—concepts frequently tested in the exam.

✅ Timed for 30 minutes
✅ Instant feedback with detailed explanations
✅ Questions aligned with the official GATE 2026 syllabus

Start the quiz below and evaluate your grasp on one of the most foundational topics in the GATE DA paper.