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Unit 1: Introduction

20252m

Which of the following is an example of supervised learning?
(i) K-means clustering
(ii) Linear regression
(iii) PCA
(iv) DBSCAN

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Answer: (ii) Linear regression

Explanation:

  • Supervised learning requires labelled data (x,y)(x, y).
    • Linear regression — learns y=wTx+by = w^T x + b from (x,y)(x, y) pairs to predict continuous target — supervised (regression).
  • K-means clustering (i), DBSCAN (iv) — clustering algorithms that find groups without labels — unsupervised.
  • PCA (iii) — Principal Component Analysis, dimensionality reduction without labels — unsupervised.

Therefore only (ii) Linear regression is supervised among options.

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