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Discovering biclusters with a constant assumption across rows (a), columns (b) and overall elements (c) using frequent itemset mining. Column identifiers (y 1, y 2, y 3) are combined with the observed values {0,1,2,3}, and FIM applied under a parameterizable support threshold (θ=2∧|P|≥2). Constant values on columns can be mined using the transpose matrix. To find biclusters with constant values overall, each item needs to be separately mined.
