In this study, seven two-dimensional clustering algorithms are program
med and tested under various sizes of the machine part incidence matri
x. The evaluation of the algorithms is done on the basis of six perfor
mance criteria. As a result, well-known algorithms such as the Direct
Clustering Algorithm and P-median method perform better than other sel
ected algorithms.