Clustering and Anomaly Detection with Kernels

This chapter treats the relevant topic of clustering and anomaly detection with kernels. The field is in the core of machine learning, and has many practical implications. The chapter discusses the kernel‐based approaches systematically. They are clustering, density estimation (sometimes...

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Bibliographic Details

Published in:	Digital Signal Processing with Kernel Methods pp. 503 - 542
Main Authors:	Rojo-Álvarez, José Luis, Martínez-Ramón, Manel, Muñoz-Mar&iacute, Jordi, Camps-Valls, Gustau
Format:	Book Chapter
Language:	English
Published:	Chichester, UK Wiley 2018 John Wiley & Sons, Ltd
Edition:	1
Series:	Wiley - IEEE
Subjects:	anomaly detection clustering digital signal processing kernel method statistical hypothesis testing support vector domain description support vectors Hilbert space Kernel Clustering algorithms Signal processing algorithms Estimation Anomaly detection
ISBN:	9781118611791, 1118611799
Online Access:	Get full text
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