Distributed Principal Component Analysis for Wireless Sensor Networks

Distributed Principal Component Analysis for Wireless Sensor Networks

The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like compression, event detection, and event recognition. This technique is based on a linear transform where the sensor measurements a...

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Bibliographic Details
Main Authors: Gianluca Bontempi, Sylvain Raybaud, Yann-Aël Le Borgne
Format: Article
Language:English
Published: MDPI AG 2008-08-01
Series:Sensors
Subjects:
Wireless sensor networks
distributed principal component analysis
in-network aggregation
power iteration method.
Online Access:http://www.mdpi.com/1424-8220/8/8/4821/

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http://www.mdpi.com/1424-8220/8/8/4821/

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