Subspace rotations for high-dimensional outlier detection
Author:
Funder
Georgia Advanced Computing Resource Center, USA
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability
Reference33 articles.
1. Outlier Analysis;Aggarwal,2017
2. On the surprising behavior of distance metrics in high dimensional space;Aggarwal,2001
3. Distance-based outlier detection for high dimension, low sample size data;Ahn;J. Appl. Stat.,2019
4. Clustering high dimension, low sample size data using the maximal data piling distance;Ahn;Statist. Sinica,2012
5. The maximal data piling direction for discrimination;Ahn;Biometrika,2010
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