A novel subspace outlier detection method by entropy-based clustering algorithm

Abstract Subspace outlier detection has emerged as a practical approach for outlier detection. Classical full space outlier detection methods become ineffective in high dimensional data due to the “curse of dimensionality”. Subspace outlier detection methods have great potential to overcome the prob...

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Bibliographic Details
Main Authors: Zheng Zuo, Ziqiang Li, Pengsen Cheng, Jian Zhao
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-42261-4