IEEE Transactions on Emerging Topics in Computing· 2014Q1
A Tensor-Based Approach for Big Data Representation and Dimensionality Reduction
- 178citations
- Q1SCImago
- 2014year
Short summary
A novel tensor model represents diverse big data types (structured, semi-structured, unstructured) as subtensors merged into a unified tensor, enabling efficient dimensionality reduction via an incremental high-order singular value decomposition (IHOSVD).
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