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Impact of biclustering on the performance of Biclustering based Collaborative Filtering
Expert Systems With Applications, 2018Abstract At present online marketplaces are flooded with numerous users having diversified choices across profusely present products. Recommender systems were developed to suggest items, friends or movies etc. to online users based on their profiles.
Monika Singh
exaly +2 more sources
Pattern Recognition, 2017
Abstract Biclustering refers to the problem of simultaneously clustering the rows and columns of a given data matrix, with the goal of obtaining submatrices where the selected rows present a coherent behaviour in the selected columns, and vice-versa. To face this intrinsically difficult problem, we propose a novel generative model, where biclustering
Mario A T Figueiredo
exaly +3 more sources
Abstract Biclustering refers to the problem of simultaneously clustering the rows and columns of a given data matrix, with the goal of obtaining submatrices where the selected rows present a coherent behaviour in the selected columns, and vice-versa. To face this intrinsically difficult problem, we propose a novel generative model, where biclustering
Mario A T Figueiredo
exaly +3 more sources
MIB: Using mutual information for biclustering gene expression data
Pattern Recognition, 2010Neelima Gupta
exaly
BSig: evaluating the statistical significance of biclustering solutions
Data Mining and Knowledge Discovery, 2017Rui Henriques +2 more
exaly
A new biclustering technique based on crossing minimization
Neurocomputing, 2006Ahsan Abdullah, Amir Hussain
exaly
A structured view on pattern mining-based biclustering
Pattern Recognition, 2015Rui Henriques +2 more
exaly
Predicting missing values with biclustering: A coherence-based approach
Pattern Recognition, 2013Fabricio Olivetti De França +2 more
exaly