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Parallel analysis-derived component counts and decisions reflect arbitrary hidden-coordinate choices rather than well-defined model properties

parallel analysis-derived component counts and decisions can reflect hidden-coordinate choice rather than a well-defined property of the model
Machine Learning (Statistics)29 Aug 2026

http://arxiv.org/abs/2608.27020v1