How many top-level clusters will be created when Maximum Hierarchy Depth is set to be greater than 1?

When the Maximum Hierarchy Depth is set to greater than 1, the number of top-level clusters created can significantly increase depending on how the data is structured and the specific attributes being analyzed. Each level in the hierarchy allows for deeper segmentation of the data, which means that for each top-level cluster, additional sub-clusters can be formed.

In this scenario, a Maximum Hierarchy Depth greater than 1 typically corresponds to a more complex and variable dataset. It enables the system to create multiple layers of clusters based on the specified criteria, which in this case leads to the creation of a total of 16 top-level clusters. This increase in the number of clusters maximizes the capability of the analytics environment to categorize and analyze data deeply, allowing for more granular insights.

The choice of 16 reflects a robust understanding of how clustering algorithms scale with hierarchical depths, leading to a multiplicative increase in cluster formation as depth increases. This depth not only enhances the organization of data but also improves the overall analytical abilities within the system, resulting in a more nuanced interpretation of the data patterns at different levels of the hierarchy.