Authors
Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah,
Title
Diffusion Strategies For In-Network Principal Component Analysis
In
Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP)
Pages
1–6
Publisher
IEEE
Year
2014
Publisher's URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6958849&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6958838%29
Indexed by
Abstract
This paper deals with the principal component analysis in networks, where it is improper to compute the sample covariance matrix. To this end, we derive several in-network strategies to estimate the principal axes, including noncooperative and cooperative (diffusion-based) strategies. The performance of the proposed strategies is illustrated on diverse applications, including image processing and dimensionality reduction of time series in wireless sensor networks.
Affiliations
Offprint