Tensor clustering framework Clustering framework of MTBC strains. High-dimensional genotype data are decomposed into two-dimensional arrays using multiway models, which are then used as input to the kmeans_mtimes_seeded algorithm. Clusterings are validated using best-match stability. In case of a tie, the DD-weighted gap statistic is used to pick the number of clusters.
Ozcaglar et al. BMC Genomics 2011 12(Suppl 2):S1 doi:10.1186/1471-2164-12-S2-S1