… We then apply our evolutionary co-clustering algorithm to … A preliminary version of the
evolutionary soft co-clustering … space in which the evolutionary co-clustering method is applied to …

… time-varying data using evolutionary co-clustering. Existing … probabilistic model for evolutionary
co-clustering in this paper… is that it leads to soft co-clustering assignments naturally. To …

… of the co-clustering method encouraged researchers to develop several robust co-clustering …
However, according to the best of our knowledge, this advantage of the co-clustering …

… On the other hand, we compare our proposed approach with four existing co-clustering based
CF models, that is, Single Co-Clustering (Single) model, MCoC model, EMCoC model and …

… the proposed evolutionary co-clustering method, we compare the proposed method with two
other co-clustering methods and one clustering method. The two co-clustering methods are …

… Since its early formulations, co-clustering has gained … the co-clustering literature by reviewing
the main co-clustering methods… most recent trends in co-clustering research and outline the …

… A comprehensive survey of clustering, co-clustering or evolutionary algorithms is beyond
the scope of this paper. Here, we consider some of the widely used techniques relevant to our …

… cluster (partial co-clustering); or 3, no two species were in the same cluster (no co-clustering).
The pathways with the highest percentage of orthologs with full co-clustering are shown in …

… In this section of the paper, a co-clustering ensemble model is … a co-clustering solution as
well as optimize co-clustering … According to the evolutionary process described above, we …

… the co-clustering theme is embedded in the similarity metric, the advantages of co-clustering
are … From the above, we see that several evolutionary algorithms have been proposed in the …