A Novel Double-Index-Constrained, Multi-View, Fuzzy-Clustering Algorithm and its Application for Detecting Epilepsy Electroencephalogram Signals

When processing a multi-view, epilepsy electroencephalogram (EEG) dataset, the traditional single-view clustering algorithms cannot fully mine the correlation information between each view and identify the importance of each view because of the limitations of its own methods. This limitation causes...

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Bibliografische Detailangaben

Hauptverfasser:	Jiaqi Zhu, Kang Li, Kaijian Xia, Xiaoqing Gu, Jing Xue, Shi Qiu, Yizhang Jiang, Pengjiang Qian
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Epileptic detecting multi-view clustering double-index-constrained fuzzy clustering algorithm
Online-Zugang:	https://ieeexplore.ieee.org/document/8778649/
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