K-means clustering in Prism works by assigning observations (rows) to different clusters by calculating the distances between these observations (rows). These distances are calculated by using the values for each row across all variables (columns) included in the analysis. This tab of the analysis parameters dialog allows you to specify which variables (columns) should be included in the analysis, and if any should be excluded.