Unsupervised Multiway Data Analysis: A Literature Survey Evrim Acar Bülent Yener Multiway data analysis captures multilinear structures in higher-order datasets, where data have more than two modes. Standard two-way methods commonly applied on matrices often fail to find the underlying structures in multiway ar- rays. With increasing number of application areas, multiway data analysis has become popular as an exploratory analy- sis tool. We provide a review of significant contributions in literature on multiway models, algorithms as well as their applications in diverse disciplines including chemometrics, neuroscience, computer vision, and social network analysis. Department of Computer Science, Rensselaer Polytechnic Institute cs-07-06
Unsupervised Multiway Data Analysis: A Literature Survey
Evrim Acar
Bülent Yener
Multiway data analysis captures multilinear structures in higher-order datasets, where data have more than two modes. Standard two-way methods commonly applied on matrices often fail to find the underlying structures in multiway ar- rays. With increasing number of application areas, multiway data analysis has become popular as an exploratory analy- sis tool. We provide a review of significant contributions in literature on multiway models, algorithms as well as their applications in diverse disciplines including chemometrics, neuroscience, computer vision, and social network analysis.
Department of Computer Science, Rensselaer Polytechnic Institute
cs-07-06