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Activity Number: 588 - Statistical Analysis of Tensor Data
Type: Invited
Date/Time: Thursday, August 1, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #300098 Presentation
Title: Tensor Clustering for Dynamic Functional Connectivity Analysis
Author(s): Will Wei Sun* and Lexin Li
Companies: Purdue University and University of California at Berkeley
Keywords: cluster analysis; multidimensional array; non-convex optimization; tensor decomposition; variable selection

Dynamic tensor data are becoming prevalent in numerous Dynamic tensor data are becoming prevalent in numerous applications. Existing tensor clustering methods either fail to account for the dynamic nature of the data, or are inapplicable to a general-order tensor. Also there is often a gap between statistical guarantee and computational efficiency for existing tensor clustering solutions. In this talk, I will introduce a new dynamic tensor clustering method, which takes into account both sparsity and fusion structures, and enjoys strong statistical guarantees as well as high computational efficiency. The efficacy of our approach will be illustrated via dynamic functional connectivity analysis. This is a joint work with Lexin Li.

Authors who are presenting talks have a * after their name.

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