Cited by 10
Outlier Detection Based on the Distribution of Distances between Data Points

Teleophthalmology in Lithuania
Alvydas Paunksnis, Valerijus Barzdžiukas, Skaidra Kurapkienė
Book:  (2006), p. 167
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Surprise Detection in Multivariate Astronomical Data
Kirk D. Borne, Arun Vedachalam
Book:  Lecture Notes in Statistics (Statistical Challenges in Modern Astronomy V) Volume 902 (2012), p. 275
An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems
Abdulmohsen Almalawi, Adil Fahad, Zahir Tari, Abdullah Alamri, Rayed AlGhamdi, Albert Y. Zomaya
Journal:  IEEE Transactions on Information Forensics and Security Volume 11, Issue 5 (2016), p. 893
An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems
Abdulmohsen Almalawi, Xinghuo Yu, Zahir Tari, Adil Fahad, Ibrahim Khalil
Journal:  Computers & Security Volume 46 (2014), p. 94
Data Clustering Based on Maximization of Outlier Factor
Vydunas Saltenis
Journal:  Journal of Global Optimization Volume 35, Issue 4 (2006), p. 625
Managing variability in the summary and comparison of gait data
Tom Chau, Scott Young, Sue Redekop
Journal:  Journal of NeuroEngineering and Rehabilitation Volume 2, Issue 1 (2005)
Monte Carlo method for identification of outlier molecules in QSAR studies
Tarko Laszlo
Journal:  Journal of Mathematical Chemistry Volume 47, Issue 1 (2010), p. 174
Novel criteria for elimination of the outliers in QSPR studies, when the ‘forward stepwise’ procedure is used
Laszlo Tarko
Journal:  Journal of Mathematical Chemistry Volume 57, Issue 7 (2019), p. 1770
Statistical evaluation of spectral methods for anomaly detection in static networks
Tomilayo Komolafe, A. Valeria Quevedo, Srijan Sengupta, William H. Woodall
Journal:  Network Science Volume 7, Issue 3 (2019), p. 319