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# Data Science for Engineers NPTEL Assignment Solutions Week 8 2022 Latest

Are you looking for help in data science for engineers nptel assignment solutions week 8? If yes, then you have landed on the right article because here we have provided answer hints for you.

## 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

Answers to this assignment of Data Science will be available soon.

Q2. kNN is used for both function approximation and classification problems.

a. True
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

Answer: Sorry! we are not able to answer these questions because we are busy today, so you can check other sources for answers.

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

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

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

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

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

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