Combining Entropy Measures for Anomaly Detection

Combining Entropy Measures for Anomaly Detection

The combination of different sources of information is a problem that arises in several situations, for instance, when data are analysed using different similarity measures. Often, each source of information is given as a similarity, distance, or a kernel matrix. In this paper, we propose a new clas...

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Bibliographic Details
Main Authors: Alberto Muñoz, Nicolás Hernández, Javier M. Moguerza, Gabriel Martos
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
entropy kernel
kernel combination
Karcher mean
anomaly detection
functional data
Online Access:http://www.mdpi.com/1099-4300/20/9/698

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