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4 . Clustering ( 1 7 marks ) Consider the following data set. x 1 = 1 2 , x 2 = 1 1 ,

4. Clustering (17 marks)
Consider the following data set.
x1=
1
2
, x2=
1
1
, x3=
2
2
, x4=
3
3
, x5=
3
0
, x6=
4
1
.
(a) Describe two differences between the K-Means algorithm and the Agglomerative Hierarchical Clustering (AHC) algorithm. [4 marks]
(b) Compute the complete linkage between the two clusters {x1, x4} and {x5, x6}.
[4 marks]
(c) In the lectures, we discussed a potential function which can be used to compare different cluster assignments. Given a cluster assignment, how do you
compute its potential function value? [3 marks]
(d) Use the potential function to determine which of the following two cluster
assignments is better.
Cluster Assignment 1: {x1, x2, x4},{x3, x5, x6}.
Cluster Assignment 2: {x1, x2},{x3, x4, x5, x6}.
[6 marks]

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