Are only documents included in the data source returned when running clustering or categorization?

The correct choice indicates that only documents are included in the data source returned when running clustering or categorization processes. This is built on the understanding that clustering and categorization are methods designed to analyze and organize textual data, primarily consisting of documents. In these processes, non-document data types are typically excluded, as the intrinsic goal is to identify patterns, themes, or groups solely within document content.

The rationale behind this is that clustering and categorization techniques are focused on understanding and processing textual information. When a user initiates these processes, they expect the analysis to pertain specifically to documents to derive meaningful insights from the text. Therefore, the operation is streamlined to handle only relevant document-based data, which aligns with the expectations of output when such functions are executed.

Moreover, data types other than documents, such as images or metadata, do not lend themselves to the same kinds of analysis performed by clustering and categorization, which work on textual content. Consequently, a focus solely on documents simplifies and directs the analysis process correctly.