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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Vydané v:	IEEE transactions on fuzzy systems Ročník 32; číslo 8; s. 4270 - 4284
Hlavní autori:	Zhan, Jianming, Huang, Xianfeng, Qian, Yuhua, Ding, Weiping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2024
Predmet:	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
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