MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering
Author:
Funder
National Key Re-search and Development Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9667543/9667672/09667726.pdf?arnumber=9667726
Reference30 articles.
1. Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification
2. DeepWalk
3. Learning representations for time series clustering;ma;Advances in neural information processing systems,2019
4. A New Time Series Similarity Measurement Method Based on the Morphological Pattern and Symbolic Aggregate Approximation
5. Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification
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2. Multivariate Time Series Classification via Hierarchical Graph Embedding;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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