INTRODUCTION TO KERNEL PCA AND OTHER SPECTRAL METHODS APPLIED TO UNSUPERVISED LEARNING INTRODUCCIÓN A KERNEL ACP Y OTROS MÉTODOS ESPECTRALES APLICADOS AL APRENDIZAJE NO SUPERVISADO

INTRODUCTION TO KERNEL PCA AND OTHER SPECTRAL METHODS APPLIED TO UNSUPERVISED LEARNING INTRODUCCIÓN A KERNEL ACP Y OTROS MÉTODOS ESPECTRALES APLICADOS AL APRENDIZAJE NO SUPERVISADO

In this work, the techniques of Kernel Principal Component Analysis (Kernel PCA or KPCA) and Spectral Clustering are introduced along with some illustrative examples. This work focuses on studying the effects of applying PCA as a preprocessing stage for clustering data. Several tests are carried out...

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Bibliographic Details
Main Authors: Sánchez Luis Gonzalo, Osorio Germán Augusto, Suárez Julio Fernando
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2008-05-01
Series:Revista Colombiana de Estadística
Subjects:
Kernel method
Cluster analysis
Model selection
Graph theory
Online Access:http://www.revistas.unal.edu.co/index.php/estad/article/view/29589

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