Biclustering Performance Evaluation of Cheng and Church Algorithm and Iterative Signature Algorithm

Biclustering has been widely applied in recent years. Various algorithms have developed to perform biclustering various cases. However, only a few studies evaluated the performance of bicluster algorithms. Therefore, this study evaluates algorithms, namely Cheng and Church algorithm (CC algorithm) Iterative Signature Algorithm (ISA). Evaluation is carried out form comparative results terms membership, characteristics, distribution results, evaluation. The evaluation uses two functions: intra-bicluster inter-bicluster. show that, from an perspective, optimal group CC produces quality which tends be better than ISA. between inter-bicluster produce deficient level similarity (20-31 percent). This indicated by differences regional membership characteristics identifying variables. tend homogeneous local characteristics. Meanwhile, ISA heterogeneous global In addition, are also robust.