A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information

Reconstructing the physical complexity of many-body dynamical systems can be a hard task. Starting from the trajectories of their constitutive units (raw data), typical approaches require choosing adequate parameters/descriptors to convert them into time-series that are then analyzed to extract huma...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	IOP Publishing 2025-01-01
سلاسل:	Machine Learning: Science and Technology
الموضوعات:	high-dimensional analysis dimensionality reduction information extraction time-series analysis unsupervised clustering descriptors
الوصول للمادة أونلاين:	https://doi.org/10.1088/2632-2153/adfa66
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!