Tensor Compression Based on Tensor Train Decomposition
摘要
As datasets become more and more complex, data dimensions grow rapidly, how to efficiently analyze high-dimensional data has become a huge challenge. How to compress and process these datasets more efficiently is a topic of interest for various industries. Based on SVD compression of matrices, this paper explores the performance of Tensor train decomposition (TTD) in compressing different kinds of high-dimensional data.