Comparison and Validation of Distance on the Balanced Assignments of Group Having Entities with Multiple Attributes

Abstract

In this paper, the balanced assignment is studied in classification of a group with multiple attribute into many subgroups without losing its similarity. The similarity or closeness in clustering is often measured as a distance. The Mahalanob distance is considered as one of the tools for measuring its closeness. The comparison between the distance criterion is shown by changing a specific assignment standard, and finally comparing it against the MTS method.