We propose a new metric for rank selection based on imputation cross-validation, and we systematically compare it against six other metrics.
In this work, we propose a new metric for rank selection based on imputation cross-validation, and we systematically compare it against six other metrics while ...
This work proposes a new metric for rank selection based on imputation cross-validation and systematically compares it against six other metrics while ...
Rank selection for non‐negative matrix factorization - Cai - 2023
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Oct 17, 2023 · The rank is chosen by minimizing the mean squared errors of the reconstruction of the missing entries. Their NMF algorithm to handle missing ...
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A novel rank selection method based on hypothesis testing, using a deconvolved bootstrap distribution to assess the significance level accurately and a ...
Dec 30, 2023 · The number of sub-structures in the feature matrix is also called the rank. This parameter controls the model complexity and is the only tuning ...
Missing: systematic MAD metric.
May 20, 2024 · In this paper, we develop a novel rank selection method based on hypothesis testing, using a deconvolved bootstrap distribution to assess the ...
Oct 18, 2024 · Rank selection in non-negative matrix factorization: systematic comparison and a new MAD metric. In 2019 International Joint Con- ference on ...
Jun 6, 2023 · The proposed UIK method is faster than conventional methods, including metrics utilizing the consensus matrix as a criterion for rank selection, ...
Objective. In this work, a new metric for rank selection is proposed based on the elbow method, which was methodically compared against the cophenetic metric.