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Nonlinear Principal Component Analysis by Neural Networks: Theory and Application to the Lorenz System

✍ Scribed by Monahan, Adam H.

Book ID
120198738
Publisher
American Meteorological Society
Year
2000
Tongue
English
Weight
384 KB
Volume
13
Category
Article
ISSN
0894-8755

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Principal component analysis (PCA) is a popular tool in multivariate statistics and pattern recognition. Recently, some mixture models of local principal component analysis have attracted attention due to a number of bene"ts over global PCA. In this paper, we propose a mixture model by concurrently