Evaluation of Bicluster Analysis Results in Capture Fisheries Using the BCBimax Algorithm

Biclustering is a simultaneous clustering technique by finding sub-matrixes that have the same similarity between rows and columns. One of biclustering algorithms relatively fast can be used as reference for comparison several BCBimax algorithm. The algorithm works sub-matrix containing element 1 formed binary data matrix. selection thresholds in binarization process minimum combination columns are essential optimal bicluster. Capture fisheries an important role supporting sustainable growth Indonesia, so information on potential fish species similarities provinces needed optimally mapping potential. found 11 biclusters grouping capture data. median each variable threshold process, row 2 maximum column chosen to find bicluster result. average value Mean Square Residual obtained 0.405403 with results (Liu Wang index) which different produced. All grouped types had simultaneously.