CASOS: a subspace method for anomaly detection in high dimensional astronomical databases

DOI10.1002/sam.11167OpenAlexW2155074102WikidataQ57834970 ScholiaQ57834970MaRDI QIDQ4969879

Marc Henrion, Axel Gandy, Daniel Mortlock, David J. Hand

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11167

zbMATH Keywords

astrostatisticsanomaly detection

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Local projections for high-dimensional outlier detection

Uses Software

• LOF

Cites Work

• Principal component analysis.
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