Multivariate Time Series Clustering with State Space Dynamical Modeling and Grassmann Manifold Learning: A Systematic Review on Human Motion Data

Multivariate time series (MTS) clustering has been an essential research topic in various domains over the past decades. However, inherent properties of MTS data—namely, temporal dynamics and inter-variable correlations—make MTS clustering challenging. These challenges can be addressed in Grassmann...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Applied Sciences
المؤلفون الرئيسيون: Sebin Heo, Andrew Beng Jin Teoh, Sunjin Yu, Beom-Seok Oh
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2024-12-01
الموضوعات:
clustering
geodesic distance
Grassmann manifold
Karcher mean
kernel method
multivariate time series
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3417/15/1/43

الانترنت

https://www.mdpi.com/2076-3417/15/1/43

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