In this article I present a complete system for clustering non-numeric data. The underlying algorithm is based on a metric called category utility (CU). The CU metric is a measure how much information ...

In analysis, continuous data may be reduced to several categories, eg, age or blood pressure, but do not be tempted to record numerical data as categorical at the outset (“age range, 40–49 ...

Teradata data types fall into categories: binary, character, date, and numeric data. Each type is described in the following sections. Note: SAS/ACCESS Version 8 does not support the following ...