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PEWASUN
2006
ACM
13 years 10 months ago
Describing MANETS: principal component analysis of sparse mobility traces
Hector D. Flores, Stephan Eidenbenz, Rudolf H. Rie...
ICANN
1997
Springer
13 years 8 months ago
Kernel Principal Component Analysis
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
IJCNN
2006
IEEE
13 years 10 months ago
Nonlinear Component Analysis Based on Correntropy
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...
Jian-Wu Xu, Puskal P. Pokharel, António R. ...
BCB
2010
175views Bioinformatics» more  BCB 2010»
12 years 11 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 4 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: 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 ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...