Distance Based Clustering

Distance Based Clustering

University

5 Qs

quiz-placeholder

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Distance Based Clustering

Distance Based Clustering

Assessment

Quiz

Mathematics, Computers

University

Medium

Created by

James Grant

Used 4+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of these distance measures will lead to a clustering algorithm that is more sensitive to outliers?

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Why is it important to take the best solution over several replications of K-means (or K-medoids) clustering?

To make sure all of the data points are used in the calculation.

To account for numerical errors in the computations.

To find a global minimum of the non-convex objective function.

To account for uncertainty in the observations.

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

single (nearest-neighbour)

complete (furthest-neighbour)

average

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

Examine this simple dendrogram. How many clusters would be obtained if we cut the tree at height h=4.5?

1 cluster

2 clusters

3 clusters

4 clusters

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

Consider this plot of number of clusters against average silhouette score. What is the optimal number of clusters suggested by this metric?

3

4

5

6