Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals

Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals

Supervised classification algorithms for processing epileptic EEG signals rely heavily on the label information of the data, and existing supervised methods cannot effectively solve the problem of analyzing unlabeled epileptic EEG signals. In the traditional unsupervised clustering algorithm, the nu...

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Detaylı Bibliyografya
Asıl Yazarlar: Yuxiao Du, Gaoming Li, Min Wu, Feng Chen
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2024-03-01
Seri Bilgileri:Brain Sciences
Konular:
epileptic EEG signals
multivariate features
sparrow search algorithm
adaptive clustering
Online Erişim:https://www.mdpi.com/2076-3425/14/4/342

Internet

https://www.mdpi.com/2076-3425/14/4/342

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