Pattern discovery algorithms are methods for discovering recurrent, non-random motifs widely used in the analysis of biological sequences. Many algorithms exist but few comparisons have been made amon
Five clustering methods are compared in two simulation studies. Studies are grouped by row, so that the same 10,000 simulated datasets were used to evaluate default MMC and the four remaining methods
