Knowledge Reused Outlier Detection

Knowledge Reused Outlier Detection

Tremendous efforts have been invested in the unsupervised outlier detection research, which is conducted on unlabeled data set with abnormality assumptions. With abundant related labeled data available as auxiliary information, we consider transferring the knowledge from the labeled source data to f...

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Bibliographic Details
Main Authors: Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Outlier detection
transfer learning
K-means
joint clustering and outlier detection
knowledge transfer
knowledge reuse
Online Access:https://ieeexplore.ieee.org/document/8672631/

Internet

https://ieeexplore.ieee.org/document/8672631/

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