Simultaneous clustering is a new way of grouping things that looks at two dimensions at once. It's different from the usual way of clustering, which only looks at one dimension at a time. This method has been used in bioinformatics, text mining, web mining, and information retrieval. Researchers have found many different ways to do simultaneous clustering and have sorted them based on how they work and what they're used for.