Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-47426-3_25
Reference28 articles.
1. Bengio, Y., Courville, A.C., Vincent, P.: Representation learning: a review and new perspectives. IEEE TPAMI 35(8), 1798–1828 (2013)
2. Britz, D., Guan, M.Y., Luong, M.: Efficient attention using a fixed-size memory representation. In: EMNLP, pp. 392–400 (2017)
3. Chandrakala, S., Sekhar, C.C.: A density based method for multivariate time series clustering in kernel feature space. In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, Part of the IEEE WCCI 2008, Hong Kong, China, 1–6 June 2008, pp. 1885–1890 (2008)
4. Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: EMNLP, pp. 1724–1734 (2014)
5. Coppi, R., D’Urso, P., Giordani, P.: A fuzzy clustering model for multivariate spatial time series. J. Classif. 27(1), 54–88 (2010). https://doi.org/10.1007/s00357-010-9043-y
Cited by 28 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. Research on load clustering algorithm based on variational autoencoder and hierarchical clustering;PLOS ONE;2024-06-13
2. 1DCAE-TSSAMC: Two-Stage Multi-Dimensional Spatial Features Based Multi-View Deep Clustering for Time Series Data;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2024-06
3. Categorization of phenotype trajectories utilizing transformers on clinical time-series;2024 9th International Conference on Machine Learning Technologies (ICMLT);2024-05-24
4. Unsupervised clustering for the anomaly diagnosis of plunger lift operations;Geoenergy Science and Engineering;2023-12
5. A Shapelet-Based Framework for Unsupervised Multivariate Time Series Representation Learning;Proceedings of the VLDB Endowment;2023-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3