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Data Science for Engineers NPTEL Assignment Solutions Week 8
Q1. The Euclidean distance between the two data points X(−5,5) and Y(10,10) is _ (Rounded off to three decimal places)
a. 25.63
b. 32.78
c. 15.81
d. 23.32
Answer: c. 15.81
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Q2. kNN is used for both function approximation and classification problems.
a. True
b. False
Answer: b. False
Q3. According to the built model ,the within cluster sum of squares for each cluster is __ (the order of values in each option could be different):
a. 8.316061 11.952463 16.212213 19.922437
b. 7.453059 12.158682 13.212213 21.158766
c. 8.316061 13.952463 15.212213 19.922437
d. None of the above
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Q4. According to the built model, the size of each cluster is __ (the order of values in each option could be different):
a. 13 13 7 14
b. 11 18 25 24
c. 8 13 16 13
d. None of the above
Answer:
Q5. The Between Cluster Sum-of-Squares (BCSS) value of the built K-means model is _(Choose the appropriate range)
a. 100 – 200
b. 200 – 300
c. 300 – 350
d. None of the above
Answer:
Q6. The Total Sum-of-Squares value of the built k-means model is _ (Choose the appropriate range)
a. 100 – 200
b. 200 – 300
c. 300 – 350
d. None of the above
Answer:
Q7. A k-Means Clustering model becomes better as
a. we increase the within-cluster SS and decrease the between-cluster SS
b. we increase the within-cluster SS and increase the between-cluster SS
c. we decrease the within-cluster SS and increase the between-cluster SS
d. none of the above
Answer:
Q8. Larger K values in K-means clustering __
a. decrease the number of mis-classified samples and decrease overfitting risk
b. decrease the number of mis-classified samples but increase overfitting risk
c. increase the number of mis-classified samples but decrease overfitting risk
d. none of the above
Answer:
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