Unsupervised Multiway Data Analysis: A Literature Survey 论文

详细信息

发表期刊/会议

IEEE Transactions on Knowledge and Data Engineering

发表日期

2008-12-01

发表年份

2008

摘要

Two-way arrays or matrices are often not enough to represent all the information in the data and standard two-way analysis techniques commonly applied on matrices may fail to find the underlying structures in multi-modal datasets. Multiway data analysis has recently become popular as an exploratory analysis tool in discovering the structures in higher-order datasets, where data have more than two modes. We provide a review of significant contributions in the literature on multiway models, algorithms as well as their applications in diverse disciplines including chemometrics, neuroscience, social network analysis, text mining and computer vision.