1
Which of the following is not a supervised learning method?
EXPLANATION
Machine Learning in Bioinformatics
- 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
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