Biclustering, also known as co-clustering or simultaneous clustering, is a data analysis technique that seeks to uncover patterns in data sets where both rows and columns are clustered simultaneously. Unlike traditional clustering methods, which typically group either rows (observations) or columns (features) independently, biclustering allows for the identification of subsets of data that exhibit similar characteristics across both dimensions.
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