Outlier detection algorithm based on k-nearest neighbors-local outlier factor

The main task of outlier detection is to detect data objects which have a different mechanism from the conventional data set. The existing outlier detection methods are mainly divided into two directions: local outliers and global outliers. Aiming at the limitations of the existing outlier detection...

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Veröffentlicht in:	Journal of algorithms & computational technology Jg. 16
Hauptverfasser:	Xu, He, Zhang, Lin, Li, Peng, Zhu, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, England SAGE Publications 01.03.2022 Sage Publications Ltd SAGE Publishing
Schlagworte:	Algorithms Data analysis Object recognition Outliers (statistics) local outlier factor Outlier detection k-nearest neighbor
ISSN:	1748-3018, 1748-3026
Online-Zugang:	Volltext
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