Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
Crossref DOI link: https://doi.org/10.1186/s13677-022-00328-z
Published Online: 2022-09-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liu, Xiangyu
Zhu, Shibing
Yang, Fan
Liang, Shengjun
Text and Data Mining valid from 2022-09-29
Version of Record valid from 2022-09-29
Article History
Received: 15 August 2022
Accepted: 13 September 2022
First Online: 29 September 2022
Declarations
:
: The authors declare no conflict of interest.