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GATE DA 2026 Q23: Match ML tasks with algorithms

Question

In the following table, the Task column lists a few tasks related to machine learning. The Algorithm column lists a few algorithms.

Each entry "t" from the Task column is to be matched with an appropriate entry "a" from the Algorithm column such that the task "t" can be solved using the algorithm "a". Denote such a match as t:a

TaskAlgorithm
T1 – ClusteringA1 – Markov Chain Monte Carlo
T2 – ClassificationA2 – K-Medoid
T3 – SamplingA3 – Linear Discriminant Analysis
T4 – Feature ExtractionA4 – Naive Bayes

Which of the following options is/are the correct matching(s)?

Try it: multiple select: one or more correct options

Select one or more options
Select all correct options. No negative marking, no partial marks.
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Answer: B (official GATE 2026 final answer key)

Concept used: K-medoids clusters, naive Bayes classifies, MCMC samples, and LDA can extract discriminative features.

First step: Fix the unambiguous pairs first: clustering needs K-Medoid and sampling needs MCMC.

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Source: official GATE 2026 DA question paper and final answer key, organised by IIT Guwahati. Question paper · Answer key

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