Which dataset build option effectively combines new documents into an existing brain and cluster wheel?

The choice of incremental analytics with ingest as the correct answer stems from its unique ability to incorporate new documents into an existing brain and cluster wheel without starting the analysis process from scratch. This option focuses on the efficiency of adding new data to an existing set, allowing for updates and refinement of the clustering and analysis without the need for a complete reanalysis.

Incremental analytics specifically helps in continuously evolving the data representation within the brain by integrating new documents while maintaining the previously established clusters and patterns. This is particularly beneficial when the dataset is large or continuously growing, as it allows for the seamless integration of additional information without disrupting the existing structure.

In contrast, full analytics options generally imply re-evaluating the entire dataset, which can be more resource-intensive and time-consuming, so they aren't ideal for scenarios involving frequent updates. The choice of not utilizing ingest would prevent the new documents from being added effectively to the current analysis, thereby missing out on valuable insights that could arise from the most recent data.