What analysis technique is used to divide information into exclusive groups?

Classification analysis is the technique that focuses on dividing information into exclusive groups based on certain characteristics or features of the data. This method is fundamental in machine learning and data mining, as it allows for the building of models that can accurately predict group membership for new observations. For instance, classification can be used to determine whether an email is spam or not based on features such as word frequency, sender information, and other attributes.

In contrast, the other techniques mentioned serve different purposes. Market basket analysis examines co-occurrences of items in transactions to identify relationships between products rather than focusing on grouping. Estimation analysis involves predicting future values based on statistical modeling rather than dividing information into groups. Outlier analysis is used to identify data points that deviate significantly from the rest, but it does not involve grouping data into categories. Hence, classification analysis is the correct answer as it directly addresses the task of categorizing information into distinct, non-overlapping groups.