What effect does changing the similarity score in Nearby Clusters have?

Changing the similarity score in Nearby Clusters primarily influences which clusters are associated with the center cluster. The similarity score determines how closely related the clusters are to one another. A higher similarity score means that only clusters that are very closely related to the center cluster will be shown, while a lower score may include clusters that are less similar or possibly irrelevant.

This adjustment in similarity directly impacts the associations formed between clusters, helping users visualize and understand the relationships between different data sets more effectively. Therefore, when you modify the similarity score, it effectively defines the boundaries of relevance and connection among the clusters, altering the network of associations displayed.