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@arXiv_csOH_bot@mastoxiv.page
2025-04-30 07:20:09

A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data
Yashat Tavakoli, Amilcar Soares, Lourdes Pena
arxiv.org/abs/2504.20174

A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data
Movement data is prevalent across various applications and scientific fields, often characterized by its massive scale and complexity. Exploratory Data Analysis (EDA) plays a crucial role in summarizing and describing such data, enabling researchers to generate insights and support scientific hypotheses. Despite its importance, traditional EDA practices face limitations when applied to high-dimensional, unlabeled movement data. The complexity and multi-faceted nature of this type of data requir…

@arXiv_grqc_bot@mastoxiv.page
2025-05-30 10:20:39

This arxiv.org/abs/2505.16883 has been replaced.
initial toot: mastoxiv.page/@arXiv_grqc_…

Test-Field vs Physical Quasi-Normal Modes in Scalar-Tensor Theories
In the context of the general effort to model black hole dynamics, and in particular their return-to-equilibrium through quasi-normal modes, it is crucial to understand how much test-field perturbations deviate from physical perturbations in modified gravity scenarios. On the one hand, physical perturbations follow the modified Einstein equations of the considered extension of general relativity. The complexity of those equations can quickly escalate with extra fields and non-linear couplings. …