Efficient Time-Series Clustering through Sparse Gaussian Modeling

Efficient Time-Series Clustering through Sparse Gaussian Modeling

In this work, we consider the problem of shape-based time-series clustering with the widely used Dynamic Time Warping (DTW) distance. We present a novel two-stage framework based on Sparse Gaussian Modeling. In the first stage, we apply Sparse Gaussian Process Regression and obtain a sparse represen...

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Bibliographic Details
Main Authors: Dimitris Fotakis, Panagiotis Patsilinakos, Eleni Psaroudaki, Michalis Xefteris
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Algorithms
Subjects:
time series
clustering
Dynamic Time Warping
sparse Gaussian processes
Online Access:https://www.mdpi.com/1999-4893/17/2/61

Internet

https://www.mdpi.com/1999-4893/17/2/61

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