The density table is a unique application by Decision Makers to the DBSCAN algorithm to find exceptions in value combinations of variables. The current version of the algorithm is two orders of magnitude faster than the original DBSCAN algorithm. The table shows the prevalence of variable combinations used as quality variables. The algorithm divides the variables' space into groups. Each of which has a wig size 5% of the range defined by the user for the variable. Therefore, each resulting group is a 5% cube to the power of the number of variables. Each cube counts by the number of records from the total records. While running, the row corresponding to the last record checked is present in the table. If the frequency value of the record is lower than a certain threshold value, an alert is displayed.
