Computational cluster validation in DNA-based computation

DNA-based computation is one of new computation paradigms. In this approach, bio-chemical wet experiment plays a central role in obtaining results. However, some errors happen during the wet-experiment procedure is executed. The aim of this study is to examine validity of DNA-based techniques in solving a clustering problem. In the broadest sense, we can define validity as a measure of performance of algorithm in various environments and inputs. We will study how some errors or noises from an input influence on results of the procedures. The comparative study for the different set of errors is discussed at the end of this paper.