Question One
a) What are outliers? List four applications of outlier detection.
b) What are the challenges of outlier detection?
Question Two
a) How does PAM (K-medoids) form clusters; how does DBSCAN form clusters?
b) Assume you apply DBSCAN to the same dataset, but the examples in the dataset are sorted differently. Will DBSCAN always return the same clustering for different orderings of the same dataset? Give reasons for your answer.
Question Three
Measuring geodesic distance for the graph G in given figure, calculate the following:
i. Eccentricity
ii. Radius
iii. Diameter
iv. Peripheral vertex
Question Four
Why is it often necessary to do constraint-based clustering? Describe the terms hard constraint and soft constraint.
Assignment
Data Mining and Data Warehousing
Student Details:
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1 Mark
Learning Outcome(s):
LO-2,3
1 Mark
Learning Outcome(s):
LO- 2, 3
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Learning Outcome(s):
LO-2, 3
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1 Mark
Learning Outcome(s):
LO-2
Learning Outcome(s):
LO-2, 3
