What is another word for biclustering?
Pronunciation: [ba͡ɪklˈʌstəɹɪŋ] (IPA) 
Biclustering is a term used in data science that refers to a technique for grouping data into clusters based on similarity in two different dimensions. Some synonyms for biclustering include co-clustering, bi-partitioning, and block clustering. Co-clustering refers to the process of clustering data simultaneously in both dimensions, while bi-partitioning refers to the separation of data into two distinct groups based on similarity in both dimensions. Block clustering is a more general term that encompasses any clustering method that groups data into rectangular blocks. Other common terms used in this context include matrix factorization, tensor decomposition, and subspace clustering, all of which refer to similar techniques for grouping data along multiple dimensions.
