Distance Based Clustering
Quiz
•
Mathematics, Computers
•
University
•
Medium
James Grant
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5 questions
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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
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
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
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