Local Correlation Integral Approach for Anomaly Detection Using Functional Data

Local Correlation Integral Approach for Anomaly Detection Using Functional Data

The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called Local Correlation Integral (LOCI) has been extended and adapted to be applied to the particu...

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Bibliographic Details
Main Authors: Jorge R. Sosa Donoso, Miguel Flores, Salvador Naya, Javier Tarrío-Saavedra
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
outlier detection
anomaly detection
FDA
LOCI
Hilbert space
Online Access:https://www.mdpi.com/2227-7390/11/4/815

Internet

https://www.mdpi.com/2227-7390/11/4/815

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