An adaptive new state recognition method based on density peak clustering and voting probabilistic neural network

标题
An adaptive new state recognition method based on density peak clustering and voting probabilistic neural network
作者
关键词
New state recognition, Fault diagnosis, Voting probabilistic neural networks, Gaussian mixture model, Density peak clustering
出版物
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 106835
出版商
Elsevier BV
发表日期
2020-10-24
DOI
10.1016/j.asoc.2020.106835

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