2021
DOI: 10.48550/arxiv.2110.01278
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An AO-ADMM approach to constraining PARAFAC2 on all modes

Marie Roald,
Carla Schenker,
Vince D. Calhoun
et al.

Abstract: Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example, measurements may evolve over time or have unaligned time profiles. The PARAFAC2 model has been successfully used to analyze such data by allowing the underlying factor matrices in one mode (i.e., the evolving mode) to change across slices. The traditional approach to fit a PARAFAC2 model is to use an alternating least squares-based a… Show more

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