This set of MCQ(multiple choice questions) will help you with the answers of **Data Analytics with Python NPTEL Week 11 Assignment Solutions**.

### Course layout

** Week 1: Basics of Python Spyder**Week 2 :

**Introduction to probability**

**Week 3 : Sampling and sampling distributions**

**Week 4 : Hypothesis testing**

**Week 5 : Two sample testing and introduction to ANOVA**

**Week 6 : Two way ANOVA and linear regression**

**Week 7 : Linear regression and multiple regression**

**Week 8 :**

**Concepts of MLE and Logistic regression**

**Week 9 : ROC and Regression Analysis Model Building**

**Week 10 : c**

^{2}Test and introduction to cluster analysis

**Week 11 : Clustering analysis**

**Week 12 : Classification and Regression Trees (CART)**

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### Data Analytics with Python NPTEL Week 11 Assignment Solutions

**Q1.** ________ is used for calculating distance measures in clustering using python

a) distance_matrix

b) spatial_matrix

c) scipy_matrix

d) distance.matrix

Answer: a) distance_matrix

**Q2.** The formula for dissimilarity computation between two objects for categorical variables is –

Here p is a categorical variable and m denotes the number of matches.

a) D(i,j) = p-m / p

b) D(i,j) = p-m / m

c) D(i,j) = m-p / p

d) D(i,j) = m-p / m

Answer: a) D(i,j) = p-m / p

**Q3.** Select the correct option for a data set with 7 objects and an interval-scaled variable ‘f’ we have the following measurements:

f = (1, 2, 3, 4, 5, 8, 50) containing one outlying value.

a) Std deviation (std_f) and mean absolute deviation (s_f) are equally affected

b) Mean absolute deviation (s_f) is more affected by the outlier

c) Std deviation (std_f) is more affected by the outlier

d) None of these

Answer: c) Std deviation (std_f) is more affected by the outlier

**Q4.** Which of the following is true for K-means clustering?

a) It comes under the partitioning method

b) The number of clusters is predefined for this method

c) Cluster similarity is measure in regard to the mean value of the objects in a cluster

d) All of the above

Answer: d) All of the above

**Q5.** Which of the following can act as possible termination conditions in K-Means?

1. For a fixed number of iterations.

2. Assignment of observations to clusters does not change between iterations. Except for cases with a bad local minimum.

3. Centroids do not change between successive iterations.

4. Terminate when Residual Sum of Squares (RSS) falls below a threshold.

a) 1,3 and 4

b) 1,2,3 and 4

c) 2 and 3

d) None of these

Answer: b) 1,2,3 and 4

**Q6.** In the figure below, if you draw a horizontal line on y-axis for y=2. What will be the number of clusters formed?

a) 1

b) 2

c) 3

d) 4

Answer: b) 2

**Q7.** Which of the following clustering requires merging approach?

a) Partitional

b) Naive Bayes

c) Hierarchical

d) None of these

Answer: c) Hierarchical

**Q8.** State True or False: Hierarchical clustering should primarily be used for exploration

a) True

b) False

Answer: a) True

**Q9.** State True or False: For finding dissimilarity between two clusters in hierarchical clustering, average-link is the only metric used

a) True

b) False

Answer: b) False

**Q10.** Hierarchical clustering can either be an agglomerative or divisive algorithm

a) True

b) False

Answer: a) True

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