南京航空航天大学贝博app体育下载艾弗森主页平台管理系统 皮德常-贝博app体育下载艾弗森

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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：appl. soft comput. j.
摘要：this paper explores multi-trial eeg (electroencephalography signal) clustering and proposes a novel centroid-based approach for it. it firstly utilizes an improved cross correlation to measure similarities of multi-trial eegs and then proposes an optimal eeg feature extraction to seek cluster centroids based on the improved cross correlation similarities. finally, it leads to a novel algorithm called mteegc for multi-trial eeg clustering. mteegc yields high-quality multi-trial eeg clustering with respect to the intra-cluster compactness as well as the inter-cluster scatter. meanwhile, it also demonstrates the superiority of mteegc in clustering accuracy over 10 state-of-the-art time series clustering algorithms through a detailed experimentation using standard cluster validity criteria on 5 real-world multi-trial eeg datasets. especially, compared with the worst and the best algorithms in the 10 baseline algorithms, mteegc respectively achieves 36.11% and 2.53% mean improvements with clustering accuracy (i.e., ri) on 5 multi-trial eeg datasets. © 2018 elsevier b.v.
issn号：1568-4946
是否译文：否
发表时间：2018-10-01
合写作者：代成龙,崔琳,朱延龙
通讯作者：皮德常