The Associations view. All the columns in the Grid can be checked to see if they interact with the other columns to form associations and clusters. The importance of the association for every column is determined with respect to every other column. All the columns are set to be Inputs. Each column in turn is changed to Output and a network is created. The networks are trained so that the most important Input can be determined. The Output is paired with the most important Input. The strength of the association is the importance of the most important input for the currently set output. Clusters of Columns are also formed during the Associating process.