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Results tagged with pca
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user 227551
Principal component analysis (PCA) is a linear dimensionality reduction technique. It reduces a multivariate dataset to a smaller set of constructed variables preserving as much information (as much variance) as possible. These variables, called principal components, are linear combinations of the input variables.
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Evaluating the distribution of a continuous variable in a two dimensional space
I have performed a Principal Component Analysis on a set of hydrological indices. Those hydrological indices are derived from the discharge of some rivers (e.g. how long the river needs to get back to …
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