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Ivy_Honeywell_Data Analytics_6.1

Authored by Ivy Professional School

Professional Development

Professional Development

Ivy_Honeywell_Data Analytics_6.1
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Point out the correct statement:

The choice of an appropriate metric will influence the shape of the clusters

Hierarchical clustering is also called HCA

In general, the merges and splits are determined in a greedy manner

All of the mentioned

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is finally produced by Hierarchical Clustering?

Final estimate of cluster centroids

Tree showing how close things are to each other

Assignment of each point to clusters

All of the mentioned

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is required by K-means clustering?

Defined distance metric

Number of clusters

Initial guess as to cluster centroids

All of the mentioned

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Point out the wrong statement:

K-means clustering is a method of vector quantisation

K-means clustering aims to partition n observations into k clusters

K-nearest neighbour is same as K-means

None of the mentioned

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following combination is incorrect?

Continuous-euclidean distance

Continuous-correlation similarity

Binary-manhattan distance

None of the mentioned

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Hierarchical clustering should be primarily used for exploration.

TRUE

FALSE

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

K-means is not deterministic and it also consists of number of iterations.

TRUE

FALSE

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