Dear students, are you looking for help in Machine Learning NPTEL week 8 assignment answers? So, here in this article, we have provided Machine Learning week 8 assignment answer’s hint.

## NPTEL Introduction to Machine Learning Assignment Answers Week 8

**Q1. For two runs of K-Mean clustering is it expected to get same clustering results?**

a. Yes

b. No

**Answer:** b. No

**1000+ Students benefited from instant notification, will you? Join us on telegram.**

**Q2. 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

**Q3. 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.

**Q4. 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

**Q5. Given, six points with the following attributes:**

point | x coordinate | y coordinate |
---|---|---|

p1 | 0.4005 | 0.5306 |

p2 | 0.2148 | 0.3854 |

p3 | 0.3457 | 0.3156 |

p4 | 0.2652 | 0.1875 |

p5 | 0.0789 | 0.4139 |

p6 | 0.4548 | 0.3022 |

p1 | p2 | p3 | p4 | p5 | p6 | |
---|---|---|---|---|---|---|

p1 | 0.0000 | 0.2357 | 0.2218 | 0.3688 | 0.3421 | 0.2347 |

p2 | 0.2357 | 0.0000 | 0.1483 | 0.2042 | 0.1388 | 0.2540 |

p3 | 0.2218 | 0.1483 | 0.0000 | 0.1513 | 0.2843 | 0.1100 |

p4 | 0.3688 | 0.2042 | 0.1513 | 0.0000 | 0.2932 | 0.2216 |

p5 | 0.3421 | 0.1388 | 0.2843 | 0.2932 | 0.0000 | 0.3921 |

p6 | 0.2347 | 0.2540 | 0.1100 | 0.2216 | 0.3921 | 0.0000 |

Which of the following clustering representations and dendrogram depicts the use of MIN or Single link proximity function in hierarchical clustering:

**Answer:** Option A

**Q6. Is it possible that assignment of observations to clusters does not change between successiveiterations of K-means?**

a. Yes

b. No

c. Can’t say

d. None of these

**Answer:** a. Yes

**Q7. 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

**Q8. Which of the following algorithms suffer from the problem of convergence at local optima?**

I. K-means clustering

II. Agglomerative clustering

III. Expectation-minimization clustering

IV. Divisive clustering

a. I and II

b. II and III

c. III and IV

d. I and III

**Answer:** d. I and III

**Q9. 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

**Q10. 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

TELEGRAM FOR NOTIFICATION | Click Here |

Follow on Google News (in one click) | Click Here |

**Disclaimer:** These answers are provided only for the purpose to help students to take references. This website does not claim any surety of 100% correct answers. So, this website urges you to complete your assignment yourself.

**Also Available:**

NPTEL Introduction to Machine Learning Assignment Answers Week 7