SAC   2016 Symposium on Applied Computing
Wall of Fame | Most Viewed SAC-2016 Paper
8 years 3 months ago
Nonlinear kernel density principal component analysis with application to climate data
Abstract Principal component analysis (PCA) is a wellestablished tool for identifying the main sources of variation in multivariate data. However, as a linear method it cannot desc...
Seppo Pulkkinen
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