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An unsupervised k - means clustering produces 4 clusters. The size of each cluster is as follows: Cluster 1 = 7 3 instances Cluster 2

An unsupervised k-means clustering produces 4 clusters. The size of each cluster is as follows:
Cluster 1=73 instances
Cluster 2=109 instances
Cluster 3=82 instances
Cluster 4=45 instances
When calculating the silhouette coefficient for a single data instance in Cluster 3, to compute bi (separation), how many distance calculations must be performed? How many distance calculations are required to compute ai (cohesion) for that data instance in Cluster 3? Be sure to show your work for these calculations.

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