# NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8

**These are solutions for NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8 Week 8**

Course Name: Introduction To Machine Learning IITKGP

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**1) For two runs of K-Mean clustering is it expected to get same clustering results?**

A. Yes

B. No

**Answer: A**

**2) Which of the following can act as possible termination conditions in K-Means?I. For a fixed number of iterations.II Assignment of observations to clusters does not change between iterations. Except for cases with a bad local minimum.III Centroids do not change between successive iterations.IV. Terminate when RSS falls below a threshold**

A) I, III and IV

B) I, II and III

C) I, II and IV

D) All of the above

**Answer: D) All of the above**

**These are solutions for NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8 Week 8**

**3) After performing K-Means Clustering analysis on a dataset, you observed the following dendrogram. Which of the following conclusion can be drawn from the dendrogram?**

A) There were 28 data points in clustering analysis.

B) The best no. of clusters for the analysed data points is 4.

C) The proximity function used is Average-link clustering.

D) The above dendrogram interpretation is not possible for K-Means clustering analysis.

**Answer: D) The above dendrogram interpretation is not possible for K-Means clustering analysis.**

**4) What should be the best choice of no. of clusters based on the following results :**

A. 1

B. 2

C. 3

D. 4

**Answer: C. 3**

**These are solutions for NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8 Week 8**

**5) Given, six points with the following attributes :Which of the following clustering representations and dendrogram depicts the use of MIN or Single link proximity function in hierarchical clustering :**

**Answer: A**

**6) Is it possible that assignment of observations to clusters does not change between successive iterations of K-means?**

A) Yes

B) No

C) Can’t say

D) None of these

**Answer: A) Yes**

**7) What is the possible reason(s) for producing two different dendograms using agglomerative clustering for the same data set?**

A) Proximity function

B) No. of data points

C) Variables used

D) All of these

**Answer: D) All of these**

**These are solutions for NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8 Week 8**

**8) Which of the following algorithms suffer from the problem of convergence at local optima?I) K-means clusteringII) Agglomerative clusteringIII) Expectation-minimization clusteringIV) Divisive clustering**A) I and II

B) II and III

C) III nad IV

D) I and III

**Answer: D) I and III**

**9) Which of the following is/are valid iterative strategy before performing clustering analysis for treating missing values?**

A) Imputation with mean

B) Nearest neighbour assignment

C) Imputation with expectation-maximization algorithm

D) None of these

**Answer: C) Imputation with expectation-maximization algorithm**

**10) If two variables V1 and V2 are used for clustering, which of the following is/are true with K means clustering algorithm for K=3?I) If V1 and V2 have a correlation of 1, cluster centroid will be in a straight line.II) If V1 and V2 have a correlation of 0, cluster centroid will be in a straight line.**

A) I only

B) II only

C) I and II

D) None of these

**Answer: A) I only**

**These are solutions for NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 8 Week 8**

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