Which of the following can be submitted for clustering?

The correct choice involves documents returned in a saved search because this corpus of documents can be dynamically defined based on specific criteria determined by the user. Utilizing saved searches allows users to filter and select the exact documents they want to analyze for clustering. This functionality is particularly beneficial in large datasets, as it enables targeted clustering on relevant data subsets that align with the user’s analytical goals.

Clustering can significantly enhance the understanding of relationships and patterns within those specific documents, making it easier to uncover insights in a more manageable context. This flexibility is what makes documents returned in a saved search ideal for this purpose, as opposed to static selections like those from a specific folder or all documents in a workspace. While documents located in a specific folder and all documents in a workspace can also be clustered, they are often not as advantageous as targeted selections through a saved search in terms of relevance and data management. Additionally, documents loaded into custom objects are typically not formatted or stored in a way that allows for effective clustering within standard analytics tools.