Question 1
μ1 = (2.5, 2.5)
μ1 = (4.5, 4.5)
μ1 = (3, 3)
μ1 = (5.5, 5.5)
μ1 = (2.5, 2.5)
μ1 = (4.5, 4.5)
μ1 = (3, 3)
μ1 = (5.5, 5.5)
C1
C2
C3
It remains in the same cluster as in the first iteration
Which of the following statements are true regarding applying standard PCA on a centered dataset?
The variance of the dataset along the first principal component is maximum.
Eigenvectors are always orthogonal to each other in PCA.
The first principal component is the eigenvector corresponding to the largest eigenvalue of the covariance matrix.
The first principal component is the eigenvector corresponding to the smallest eigenvalue of the covariance matrix.
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The IIT Madras BS Machine Learning Techniques (MLT) Quiz 1 paper sat on 29 Oct 2023, in the September 2023 term (T3 2023): 13 questions for 50 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | MLT Quiz 1 29 Oct 2023 at a glance |
|---|---|
| Term | September 2023 term (T3 2023) |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 13 |
| Marks | 50 |
| Duration | 120 min |
| MCQ | 6 |
| MSQ | 2 |
| Numerical | 5 |
| Official paper | IIT M DIPLOMA AN2 EXAM QPD2 29 Oct 2023 |
| Negative marking | No negative marking. |
| Updated |