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• W80996498 abstract "Biclustering, which can be defined as the simultaneous clustering of rows and columns in a data matrix, has received increasing attention in recent years, particularly in the field of Bioinformatics (e.g. for the analysis of microarray data). This paper proposes a novel biclustering approach, which extends the Affinity Propagation [1] clustering algorithm to the biclustering case. In particular, we propose a new exemplar based model, encoded as a binary factor graph, which allows to cluster rows and columns simultaneously. Moreover, we propose a linear formulation of such model to solve the optimization problem using Linear Programming techniques. The proposed approach has been tested by using a well known synthetic microarray benchmark, with encouraging results." @default.
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• W80996498 date "2014-01-01" @default.
• W80996498 modified "2023-09-26" @default.
• W80996498 title "A Binary Factor Graph Model for Biclustering" @default.
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• W80996498 doi "https://doi.org/10.1007/978-3-662-44415-3_40" @default.
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