Spatio-Temporal Data Clustering using Deep Learning: A Review-Reference-Cited by-同舟云学术

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Spatio-Temporal Data Clustering using Deep Learning: A Review

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
language:
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Author:

Aparna R¹,Idicula Sumam Mary²

Affiliation:

1. Cochin University of Science and Technology,Department of Computer Science,Kerala,India

2. Cochin University of Science and Technology & Department of Computer Science,Muthoot Institute of Technology and Science,Department of Computer Science,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787685/9787686/09787701.pdf?arnumber=9787701

Reference48 articles.

1. Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data

2. A semi-supervised deep learning approach for vessel trajectory classification based on AIS data

3. A Deep Learning Approach for Identifying User Communities Based on Geographical Preferences and Its Applications to Urban and Environmental Planning

4. Deep representation learning and clustering of traffic scenarios;harmening,2020

5. Deep trajectory clustering with autoencoders;olive;Proceedings of the International Conference on Research in Air Transportation,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical Clustering Algorithm for Multi-Camera Vehicle Trajectories Based on Spatio-Temporal Grouping under Intelligent Transportation and Smart City;Sensors;2023-08-03

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