This work proposes a structured and integrated view of the contributions of state-of-the-art PM-based biclustering approaches, makes available a set of ...
This work proposes a structured and integrated view of the contributions of state-of-the-art PM-based biclustering approaches, makes available a set of ...
A review and systematic comparison on pattern miningbased biclustering (PMB) algorithms are provided and formalized in qualitative and quantitative analysis.
A structured view on pattern mining-based biclustering - Scholar
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This work proposes a structured and integrated view of the contributions of state-of-the-art PM-based biclustering approaches, makes available a set of ...
A structured view on pattern mining-based biclustering. https://doi.org/10.1016/j.patcog.2015.06.018 ·. Journal: Pattern Recognition, 2015, № 12, p. 3941-3958.
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BicPAMS is a tool for the exploratory and unsupervised analysis of tabular and network data. BicPAMS integrates state-of-the-art contributions on pattern-based ...
For this purpose, a new Top-K formal concepts-based algorithm for mining biclusters from gene expression data is proposed: Top-BicMiner. It extracts biclusters' ...
Feb 27, 2018 · Biclustering is a powerful data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set.
Feb 2, 2017 · BicPAMS is the first biclustering tool offering the possibility to: 1) parametrically customize the structure, coherency and quality of ...
Dec 6, 2023 · Biclustering is increasingly used in biomedical data analysis, recommendation tasks, and text mining domains, with hundreds of biclustering ...