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Nonlinear dimensionality reduction in climate data
Nonlinear dimensionality reduction climate data
2009/11/11
Linear methods of dimensionality reduction are useful tools for handling and interpreting high dimensional data. However, the cumulative variance explained by each of the subspaces in which the data s...
ENSO dynamics in current climate models:an investigation using nonlinear dimensionality reduction
ENSO dynamics current climate models nonlinear dimensionality reduction
2009/10/30
Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality. T...