Q54: Which of the following is not a supervised learning method? - Numerical Analysis & Statistical Methods - Computer Application- ICAR JRF/SRF 2024 | Agrigyan

• Supervised vs. Unsupervised Machine Learning:
• Supervised Learning: Models are trained on labeled datasets where inputs map to known target outputs:
• Support Vector Machine (SVM): Supervised classification/regression.
• Decision Tree: Supervised classification/regression.
• Linear Regression: Supervised continuous target regression.
• Unsupervised Learning: Models identify hidden patterns, clusters, or intrinsic groupings within unlabeled data without predefined ground truth.
• K-means clustering: Classic unsupervised partitioning algorithm that clusters data points into $K$ centroids based on distance metrics.
• Conclusion: K-means clustering is NOT a supervised learning method (Option 2).

Correct option: (2) K-means clustering