We have published a pre-print manuscript for our clust method, which we believe to solve the biggest problem in gene expression clustering, from our point of view:
https://www.biorxiv.org/content/early/2018/02/13/221309
The manuscript shows how clust solves the problem by application to 100 different microarray and RNAseq gene expression datasets from 5 model species. Clust is thoroughly compared with seven widely used methods (k-means, MCL, hierarchical clustering, WGCNA, self-organising maps (SOMs), Click, and Cross-Clustering).
Update: the paper has been accepted for publication in Genome Biology and will be available online soon!