AutoSOME is a new unsupervised multidimensional clustering method for identifying clusters of diverse shapes and sizes from large numerical datasets without prior knowledge of cluster number (BMC Bioinformatics, 11:117). Given the general nature of data clustering, AutoSOME has utility for a wide range of applications, including whole-genome co-expression and transcriptome analysis.