A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection

Multivariate time series prediction (MTSP) stands as a significant and challenging frontier in the data science domain, garnering considerable interest among researchers. Extreme learning machine (ELM) has emerged as a popular machine learning algorithm capable of effectively addressing MTSP challen...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 32; H. 8; S. 4270 - 4284
Hauptverfasser:	Zhan, Jianming, Huang, Xianfeng, Qian, Yuhua, Ding, Weiping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2024
Schlagworte:	Clustering algorithms Data models Extreme learning machine (ELM) Feature extraction feature selection fuzzy C-means (FCM) clustering multivariate time series prediction (MTSP) Possibility theory Prediction algorithms Predictive models Time series analysis
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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